TECHNICAL FIELD
[0001] The present invention relates to banknote recognition units, banknote handling devices,
and banknote recognition methods. The present invention specifically relates to a
banknote recognition unit and a banknote recognition method suitable for determining
the authenticity of a banknote under transport, and a banknote handling device including
such a banknote recognition unit.
BACKGROUND ART
[0002] Current banknote handling devices including a banknote recognition unit execute processes
such as recognition of the denominations of banknotes, authenticity determination,
fitness determination, and serial number recognition during transport of banknotes.
For example, a banknote is read by an optical line sensor and an image thereof is
analyzed, so that processes are executed such as recognition of the denomination of
the banknote, determination of the authenticity of the banknote, determination of
the fitness of the banknote, and letter recognition of the serial number printed on
the banknote.
[0003] For example,
JP H06-90750 B discloses a sheet soil recognition device configured to emit light to a sheet such
as a banknote, to receive light reflected on or light transmitted through the sheet
by a light receiving sensor, and to recognize the presence or absence of soil on the
sheet based on an output signal from the light receiving sensor. This device is configured
to set any detection area for detecting soil on a sheet along a scanning line, to
add a binarized signal of the output signal from the light receiving sensor in the
detection area at each reference timing and add the output signal from the light receiving
sensor in the detection area at each reference timing, and to recognize the sheet
as a sheet without soil, a partially soiled sheet, or an entirely soiled sheet based
on the results of these two additions.
[0004] JP 2006-202075 A discloses multiple banknote recognition methods for recognizing a banknote by comparing
an output pattern of an electric signal output from a light receiving unit that receives
light reflected on the banknote or light transmitted through the banknote with a reference
output pattern that has been stored in advance. For example, the patent literature
discloses a method of excluding an area where the output of an electric signal from
the light receiving unit is greater than the predetermined value is excluded from
the comparison target for recognizing a banknote. The patent literature also discloses
a method for correcting the reference output pattern in accordance with the output
of an electric signal from the light receiving unit.
SUMMARY OF INVENTION
[0005] In order to prevent counterfeiting, infrared non-absorbing ink may be used for printing
of banknotes in some cases. A portion printed with infrared non-absorbing ink absorbs
visible light and does not absorb infrared light. Thus, the pattern printed with this
ink is visually observable under a visible light source, while the pattern cannot
be imaged even with an optical line sensor under an infrared light source and the
banknote is imaged with the pattern disappeared. The portion printed with infrared
non-absorbing ink has a relatively high output (hereinafter, also referred to as a
reflected infrared output) from the optical line sensor based on the light generated
by reflection of infrared light on a banknote and has a relatively low output (hereinafter,
also referred to as a transmitted infrared output) from the optical line sensor based
on the light generated by transmission of infrared light through the banknote. In
contrast, a counterfeit portion printed not with infrared non-absorbing ink but with
infrared absorbing ink absorbs infrared light. Thus, the reflected infrared output
and the transmitted infrared output are both low.
[0006] Accordingly, a portion having a low reflected infrared output relative to a reference
template prepared in advance by learning from a genuine note can be determined as
a suspect counterfeit portion. This determination may be specifically achieved as
follows, for example. First, a reflected infrared output (infrared reflection image)
is collected for the entire printed area of a banknote to be determined. The collected
reflected infrared output is then compared with the reference template. Pixels each
having an output outside a threshold tolerance are defined as counterfeit pixels,
and the counterfeit pixels are counted. The number of the counterfeit pixels is then
compared with a separately set threshold, whereby the authenticity determination is
performed.
[0007] Unfortunately, in the above determination method, only the reflected infrared output
is used and the authenticity determination is performed based only on the number of
pixels having an output outside the threshold tolerance. Thus, the above determination
method may misdetermine a medium as a counterfeit note in a case that the medium has
an oil-stained portion that is difficult to observe visually but has an influence
on the reflected infrared output and the transmitted infrared output.
[0008] In a case that a banknote has a soiled portion, this portion absorbs infrared light
and the reflected infrared output becomes low. Unfortunately, in the above determination
method, only the reflected infrared output is used and the authenticity determination
is performed based only on the number of pixels having an output outside the threshold
tolerance. Thus, even a medium having multiple locally soiled portions may be misdetermined
as a counterfeit note in a case that the sum of the areas of the soiled portions is
large.
[0009] The sheet soil recognition device disclosed in
JP H06-90750 B is configured to recognize the presence or absence of soil on a sheet. This literature
fails to disclose both the issue of misdetermination of a soiled medium as a counterfeit
note and the solution thereto.
[0010] In the banknote recognition method disclosed in
JP 2006-202075 A, the comparison target for recognizing a banknote is limited based on the output
value of an electric signal by reflective light or transmissive light. Thus, a counterfeit
portion may be highly possibly excluded from the comparison target. Further, a banknote
having multiple locally soiled portions may be misdetermined as a counterfeit note.
[0011] In response to the above current state of the art, an object of the present invention
is to provide a banknote recognition unit capable of reducing misdetermination of
a soiled note as a counterfeit note, a banknote handling device, and a banknote recognition
method.
[0012] In order to solve the above issue and to achieve the object, one aspect of the present
invention is a banknote recognition unit for recognizing a banknote, including:
an image acquisition unit configured to acquire an infrared reflection image and an
infrared transmission image of a banknote;
a storage unit configured to store a reference data set for an infrared reflection
image and a reference data set for an infrared transmission image each based on a
fit banknote;
a first determination unit configured to compare a first infrared image with a first
reference data set to determine whether the first infrared image includes an abnormal
area that is outside a tolerance relative to the first reference data set, the first
infrared image being one selected from the infrared reflection image and the infrared
transmission image each acquired by the image acquisition unit, and the first reference
data set being one selected from the reference data set for an infrared reflection
image and the reference data set for an infrared transmission image;
a second determination unit configured to compare, in a case that the first infrared
image includes the abnormal area, a determination target area of a second infrared
image with a second reference data set to determine whether the determination target
area is within a tolerance relative to the second reference data set, the determination
target area being an area corresponding to the abnormal area, the second infrared
image being the other of the infrared reflection image and the infrared transmission
image, and the second reference data set being the other of the reference data set
for an infrared reflection image and the reference data set for an infrared transmission
image; and
a main determination unit configured to execute authenticity determination processing
on an area at least excluding the abnormal area of the first infrared image in a case
that the second determination unit determines that the determination target area is
within the tolerance relative to the second reference data set.
[0013] In another aspect of the present invention, the storage unit further stores a reference
value of a size of the abnormal area and, in a case that the first infrared image
includes the abnormal area and the second determination unit determines that the determination
target area is not within the tolerance relative to the second reference data set,
the main determination unit is configured to compare the size of the abnormal area
with the reference value stored in the storage unit and to execute, in a case that
the size of the abnormal area is smaller than the reference value, authenticity determination
processing on an area at least excluding the abnormal area of the first infrared image.
[0014] In another aspect of the present invention, the first infrared image is the infrared
reflection image, the first determination unit is configured to compare the infrared
reflection image with the reference data set for an infrared reflection image, the
second infrared image is the infrared transmission image, and the second determination
unit is configured to compare the determination target area of the infrared transmission
image with the reference data set for an infrared transmission image.
[0015] In another aspect of the present invention, the reference data set for an infrared
reflection image includes a reference value of a pixel value of each pixel of the
infrared reflection image, the reference data set for an infrared transmission image
includes a reference value of a pixel value of each pixel of the infrared transmission
image, the first determination unit is configured to determine, as the abnormal area,
an area including pixels each having a pixel value smaller than the respective reference
value that is included in the reference data set for an infrared reflection image
in the infrared reflection image, and the second determination unit is configured
to determine that the determination target area is within the tolerance relative to
the reference data set for an infrared transmission image in a case that the pixel
value of each pixel of the determination target area is greater than the respective
reference value that is included in the reference data set for an infrared transmission
image.
[0016] In another aspect of the present invention, the first infrared image is the infrared
transmission image, the first determination unit is configured to compare the infrared
transmission image with the reference data set for an infrared transmission image,
the second infrared image is the infrared reflection image, and the second determination
unit is configured to compare the determination target area of the infrared reflection
image with the reference data set for an infrared reflection image.
[0017] Another aspect of the present invention is directed to a banknote handling device
including the above banknote recognition unit.
[0018] Another aspect of the present invention is directed to a banknote recognition method
for recognizing a banknote, including:
an image acquisition step of acquiring an infrared reflection image and an infrared
transmission image of a banknote;
a first determination step of comparing a first infrared image with a first reference
data set to determine whether the first infrared image includes an abnormal area that
is outside a tolerance relative to the first reference data set, the first infrared
image being one selected from the infrared reflection image and the infrared transmission
image each acquired in the image acquisition step, and the first reference data set
being one selected from a reference data set for an infrared reflection image and
a reference data set for an infrared transmission image each based on a fit banknote;
a second determination step of comparing, in a case that the first infrared image
includes the abnormal area, a determination target area of a second infrared image
with a second reference data set to determine whether the determination target area
is within a tolerance relative to the second reference data set, the determination
target area being an area corresponding to the abnormal area, the second infrared
image being the other of the infrared reflection image and the infrared transmission
image, and the second reference data set being the other of the reference data set
for an infrared reflection image and the reference data set for an infrared transmission
image; and
a main determination step of executing authenticity determination processing on an
area at least excluding the abnormal area of the first infrared image in a case that
the determination target area is determined as being within the tolerance relative
to the second reference data set in the second determination step.
[0019] In another aspect of the present invention, in a case that the first infrared image
includes the abnormal area and the second determination step determines that the determination
target area is not within the tolerance relative to the second reference data set,
the main determination step includes comparing a size of the abnormal area with a
reference value of the size of the abnormal area and executing, in a case that the
size of the abnormal area is smaller than the reference value, authenticity determination
processing on an area at least excluding the abnormal area of the first infrared image.
[0020] In another aspect of the present invention, the first infrared image is the infrared
reflection image, the first determination step includes comparing the infrared reflection
image with the reference data set for an infrared reflection image, the second infrared
image is the infrared transmission image, and the second determination step includes
comparing the determination target area of the infrared transmission image with the
reference data set for an infrared transmission image.
[0021] In another aspect of the present invention, the reference data set for an infrared
reflection image includes a reference value of a pixel value of each pixel of the
infrared reflection image, the reference data set for an infrared transmission image
includes a reference value of a pixel value of each pixel of the infrared transmission
image, the first determination step includes determining, as the abnormal area, an
area including pixels each having a pixel value smaller than the respective reference
value that is included in the reference data set for an infrared reflection image
in the infrared reflection image, and the second determination step includes determining
that the determination target area is within the tolerance relative to the reference
data set for an infrared transmission image in a case that the pixel value of each
pixel of the determination target area is greater than the respective reference value
that is included in the reference data set for an infrared transmission image.
[0022] In another aspect of the present invention, the first infrared image is the infrared
transmission image, the first determination step includes comparing the infrared transmission
image with the reference data set for an infrared transmission image, the second infrared
image is the infrared reflection image, and the second determination step includes
comparing the determination target area of the infrared reflection image with the
reference data set for an infrared reflection image.
[0023] The banknote recognition unit, the banknote handling device, and the banknote recognition
method of the present invention can reduce misdetermination of a soiled note as a
counterfeit note.
BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Fig. 1 is a diagram illustrating the outline of a banknote recognition unit and a
banknote recognition method according to Embodiment 1.
[0025] Fig. 2 is a schematic perspective view of the appearance of the banknote handling
device according to Embodiment 1.
[0026] Fig. 3 is a block diagram of the structure of the banknote recognition unit according
to Embodiment 1.
[0027] Fig. 4 is a schematic cross-sectional view of the structure of an image acquisition
unit in the banknote recognition unit according to Embodiment 1.
[0028] Fig. 5 is a schematic view of an exemplary infrared reflection image acquired by
the image acquisition unit in the banknote recognition unit according to Embodiment
1.
[0029] Fig. 6 is a schematic view of an exemplary infrared transmission image acquired by
the image acquisition unit in the banknote recognition unit according to Embodiment
1.
[0030] Fig. 7 is a diagram of an exemplary method for calculating the size of an abnormal
area of the infrared reflection image by a second determination unit in the banknote
recognition unit according to Embodiment 1.
[0031] Fig. 8 is a flow chart of the procedure of banknote recognition processing with the
banknote recognition unit and in the banknote recognition method according to Embodiment
1.
DESCRIPTION OF EMBODIMENTS
[0032] Preferred embodiments of the banknote recognition unit, the banknote handling device,
and the banknote recognition method of the present invention are described hereinbelow
with reference to the drawings.
[0033] In the description, the reflection image means an image based on the intensity distribution
of light generated by reflection of light on a banknote. In the case of applying infrared
light to a banknote, the reflection image is also referred to as an infrared reflection
image. The transmission image means an image based on the intensity distribution of
light generated by transmission of light through a banknote. In the case of applying
infrared light to a banknote, the transmission image is also referred to as an infrared
transmission image.
[0034] <Outline of banknote recognition unit and banknote recognition method>
[0035] The outlines of a banknote recognition unit and a banknote recognition method of
the present embodiment are first described with reference to Fig. 1. Main features
of the present embodiment are the following features I and II.
[0036] I. Both the reflected infrared output and the transmitted infrared output (the infrared
reflection image and the infrared transmission image) are checked, so that a soiled
portion due to oil stain and a counterfeit portion are distinguished from each other
(see the center and right of each image in Fig. 1).
[0037] II. Based on the conditions around a pixel outside a threshold tolerance, a locally
soiled portion and a counterfeit portion are distinguished from each other (see the
center and left of each image in Fig. 1).
[0038] These features can reduce misdetermination of a soiled note as a counterfeit note.
Each of the features is described in more detail below.
[0039] (I) As oil soaks into a banknote, the unevenness of fibers of the banknote decreases
and the amount of light transmitted increases, i.e., the amount of light reflected
decreases. Thus, a soiled portion due to oil stain has a relatively low reflected
infrared output and a relatively high transmitted infrared output. As described above,
a portion having a low reflected infrared output relative to the reference template
is suspected to be counterfeit. Thus, the reflected infrared output alone may cause
misdetermination of a soiled portion due to oil stain as a counterfeit portion. Still,
in the present embodiment, the transmitted infrared output of this portion is also
checked. When the transmitted infrared output of the portion is high, the portion
is determined not as a counterfeit portion but as a soiled portion due to oil stain.
This enables exclusion of the portion determined as a soiled portion due to oil stain
from counterfeit pixels, reducing misdetermination of a soiled note as a counterfeit
note.
[0040] (II) A counterfeit feature often appears as a large portion. Thus, a portion suspected
to be counterfeit (= the reflected infrared output and/or the transmitted infrared
output are/is outside the tolerance) is determined as a counterfeit portion in a case
that another portion therearound is also suspected to be counterfeit, otherwise it
is determined as a locally soiled portion. This can reduce misdetermination of a locally
soiled portion as a counterfeit portion.
<Structure of banknote handling device>
[0041] The structure of the banknote handling device of the present embodiment is described
with reference to Fig. 2. The banknote handling device of the present embodiment may
have a structure illustrated in Fig. 2, for example. A banknote handling device 300
illustrated in Fig. 2 is a small banknote handling device to be used on a table, and
includes a banknote recognition unit (not illustrated in Fig. 2) configured to execute
recognition processing on banknotes, a hopper 301 configured to hold a plurality of
banknotes to be processed in the form of a stack, two rejection units 302 configured
to dispense rejected banknotes, such as counterfeit notes and suspect notes, among
the banknotes fed from the hopper 301 into a housing 310, an operation unit 303 configured
to receive instructions from an operator, four stacking units 306a to 306d configured
to stack sorted banknotes whose denomination, authenticity, and fitness are recognized
in the housing 310, and a display 305 configured to display information such as the
results of recognizing and counting banknotes and the stacking conditions of the stacking
units 306a to 306d. Based on the results of fitness determination by the banknote
recognition unit, the stacking units 306a to 306c among the four stacking units 306a
to 306d store fit notes, while the stacking unit 306d stores soiled notes. Any method
may be used to sort banknotes into the stacking units 306a to 306d.
<Structure of banknote recognition unit>
[0042] The structure of the banknote recognition unit of the present embodiment is described
with reference to Fig. 3. As illustrated in Fig. 3, a banknote recognition unit 1
of the present embodiment includes a control unit 10, a detection unit 20, and a storage
unit 30.
[0043] The control unit 10 includes programs for achieving a variety of processing stored
in the storage unit 30, a central processing unit (CPU) that executes the programs,
a variety of hardware controlled by the CPU, and a logical device such as a field
programmable gate array (FPGA). The control unit 10 controls the components of the
banknote recognition unit 1 based on signals output from the components of the banknote
recognition unit 1 and a control signal from the control unit 10 in accordance with
the programs stored in the storage unit 30. The control unit 10 also has functions
as a recognition unit 11, an authenticity determination unit 12, and a fitness determination
unit 13 owing to the programs stored in the storage unit 30.
[0044] The detection unit 20 includes an image acquisition unit 21, a magnetism detection
unit 22, and a UV detection unit 23. The image acquisition unit 21 acquires an image
of a banknote. The magnetism detection unit 22 includes a magnetism sensor (not illustrated)
to detect the magnetism and detects the magnetism of magnetic ink printed on a banknote
and a security thread, for example, with the magnetism sensor. The magnetism sensor
is a magnetism line sensor of a plurality of magnetism detection elements arranged
in line. The UV detection unit 23 includes a ultraviolet light emitting unit (not
illustrated) and a light receiving unit (not illustrated) and detects, with the light
receiving unit, fluorescence generated when the ultraviolet light emitting unit emits
ultraviolet light to a banknote and ultraviolet light passed through the banknote.
[0045] The storage unit 30 includes a nonvolatile storage unit such as a semiconductor memory
or a hard disk, and stores a variety of programs and a variety of data for controlling
the banknote recognition unit 1. The storage unit 30 also stores a reference data
set for an infrared reflection image, a reference data set for an infrared transmission
image, and a reference value (hereinafter, also referred to as a size reference value)
of the size of an abnormal area.
[0046] The reference data set for an infrared reflection image and the reference data set
for an infrared transmission image are reference templates to be used as determination
references in authenticity determination processing by the authenticity determination
unit 12, and are each a parameter group prepared for each denomination of a banknote
to be recognized. Each parameter group is prepared by machine learning in advance
based on the pixel value (output value) of each pixel of the infrared reflection images
and the infrared transmission images of fit banknotes (genuine notes). Thus, the reference
data set for an infrared reflection image and the reference data set for an infrared
transmission image each indicate a reference value of the pixel value of each pixel
of the infrared reflection image or the infrared transmission image of a banknote
to be subjected to authenticity determination.
[0047] The size reference value is a threshold to be used as a determination reference of
the size of an abnormal area in the authenticity processing by the authenticity determination
unit 12.
[0048] The recognition unit 11 compares a characteristic pattern of an image of a banknote
acquired by the image acquisition unit 21 with a denomination recognition template
that is a characteristic pattern for each denomination of a banknote and determines
the denomination of the banknote.
[0049] The authenticity determination unit 12 determines the authenticity of a banknote
based on an image of the banknote obtained by infrared irradiation. The specification
thereof is described later. The authenticity determination unit 12 also matches a
detection signal from the magnetism detection unit 22 and a detection signal from
the UV detection unit 23 to a respective reference data set for authenticity recognition,
and determines the authenticity of the banknote. As described, the authenticity determination
unit 12 executes a plurality of authenticity determination processes on a banknote
and determines the banknote as a genuine note in a case that all determination results
demonstrate that the banknote is genuine, while it determines the banknote as a counterfeit
note in a case that any one of the determination results demonstrates that the banknote
is counterfeit.
<Structure of image acquisition unit>
[0050] The structure of the image acquisition unit 21 is described with reference to Fig.
4. As illustrated in Fig. 4, the image acquisition unit 21 includes optical line sensors
110 and 120 arranged to face each other. Between the optical line sensors 110 and
120 is formed a gap through which a banknote BN is to be transported. This gap is
a portion of a transport path 311 of the banknote handling device. The optical line
sensors 110 and 120 are respectively placed on the upper and lower sides of the transport
path 311.
[0051] The optical line sensor 110 includes a reflection light source 111, a condenser 112,
and a light receiving unit 113. The reflection light source 111 emits light at predetermined
wavelengths (invisible light such as infrared light and visible light such as single-color
light of red, green, blue, or the like, or white light) to the upper surface of a
banknote BN. The condenser 112 gathers light emitted from the reflection light source
111 and reflected on the banknote BN. The light receiving unit 113 includes a plurality
of light receiving elements (not illustrated) arranged in line along the direction
(main scanning direction) perpendicular to the direction (subscanning direction) of
transporting a banknote BN, and converts the light gathered by the condenser 112 into
an electric signal. The optical line sensor 110 converts the electric signal generated
by conversion by the light receiving unit 113 into a digital signal and outputs this
digital signal.
[0052] The optical line sensor 120 includes a reflection light source 121, a condenser 122,
a light receiving unit 123, and a transmission light source 124. The reflection light
source 121 and the transmission light source 124 each emit light at predetermined
wavelengths (invisible light such as infrared light and visible light such as single-color
light of red, green, blue, or the like, or white light) to the lower surface of a
banknote BN. The condenser 122 gathers light emitted from the reflection light source
121 and reflected on the banknote BN. The light receiving unit 123 includes a plurality
of light receiving elements (not illustrated) arranged in line along the direction
perpendicular to the direction of transporting a banknote BN, and converts the light
gathered by the condenser 122 into an electric signal. The optical line sensor 120
converts the electric signal generated by conversion by the light receiving unit 123
into a digital signal and outputs this digital signal.
[0053] The transmission light source 124 is placed on the optical axis of the condenser
112 of the optical line sensor 110. Part of the light emitted from the transmission
light source 124 passes through the banknote BN, gathered by the condenser 112 of
the optical line sensor 110, and detected by the light receiving unit 113.
[0054] The optical line sensors 110 and 120 each repetitively image a banknote BN (expose
the light receiving elements to light) under transport in the transport direction
at predetermined time intervals and output a signal. Thereby, the image acquisition
unit 21 can acquire an image of the whole banknote BN (image acquisition step). Specifically,
the image acquisition unit 21 acquires a reflection image of the upper surface of
the banknote BN and a transmission image of the banknote BN based on the output signal
from the optical line sensor 110 and acquires a reflection image of the lower surface
of the banknote BN based on the output signal from the optical line sensor 120. The
image acquisition unit 21 acquires as reflection images of the banknote BN an infrared
reflection image of the upper surface of the banknote BN and an infrared reflection
image of the lower surface of the banknote BN. The image acquisition unit 21 further
acquires as a transmission image of the banknote BN an infrared transmission image
of the banknote BN.
<Structure of authenticity determination unit>
[0055] The structure (function) of the authenticity determination unit 12 is described with
reference to Figs. 5 and 6. As illustrated in Fig. 3, the authenticity determination
unit 12 includes a first determination unit 12a, a second determination unit 12b,
and a main determination unit 12c.
[0056] As illustrated in Fig. 5, the first determination unit 12a executes a first determination
processing (first determination step) of comparing an infrared reflection image 210
as a first infrared image of a banknote (the whole printed area) with a reference
data set for an infrared reflection image as a first reference data set (a reference
data set for an infrared reflection image corresponding to the denomination recognized
by the recognition unit 11) to determine whether the infrared reflection image 210
includes an abnormal area 211 that is outside a tolerance relative to the reference
data set for an infrared reflection image. This enables detection of a soiled portion
due to oil stain, a locally soiled portion, and/or a counterfeit portion as an abnormal
area 211.
[0057] Specifically, the first determination unit 12a compares the pixel value of each pixel
of the infrared reflection image 210 with the respective reference value included
in the reference data set for an infrared reflection image and, in a case that a pixel
having a pixel value smaller than the reference value is present, determines the area
including such a pixel as an abnormal area 211.
[0058] As illustrated in Fig. 6, in a case that the infrared reflection image 210 includes
one or more abnormal areas 211, the second determination unit 12b executes, on an
infrared transmission image 220 as a second infrared image of the banknote (the whole
printed area), a second determination processing (second determination step) of comparing
each of one or more determination target areas 221 corresponding to the one or more
abnormal areas 211 with a reference data set for an infrared transmission image as
a second reference data set (a reference data set for an infrared transmission image
corresponding to the denomination recognized by the recognition unit 11) to determine
whether each determination target area 221 is within a tolerance relative to the reference
data set for an infrared transmission image. This enables determination of whether
each of the abnormal areas 211 and the determination target areas 221 is a soiled
portion due to oil stain.
[0059] Specifically, the second determination unit 12b determines one or more areas in the
infrared transmission image 220 corresponding to the one or more abnormal areas 211
(i.e., one or more areas at the same positions as the one or more abnormal areas 211)
as the determination target areas 221. The second determination unit 12b then compares
the pixel value of each pixel of each determination target area 221 with the respective
reference value included in the reference data set for an infrared transmission image
to determine that the determination target area 221 is within the tolerance relative
to the reference data set for an infrared transmission image in a case that the pixel
value of each pixel is greater than the respective reference value, while it determines
that the determination target area 221 is not within the tolerance relative to the
reference data set for an infrared transmission image in a case that the pixel value
of each pixel is not higher than the respective reference value.
[0060] When the second determination unit 12b determines that at least one determination
target area 221 is within the tolerance relative to the reference data set for an
infrared transmission image, the main determination unit 12c executes authenticity
determination processing (main determination step) on the infrared reflection image
210 at least excluding one or more abnormal areas 211 corresponding to the one or
more determination target areas 221 determined as being within the tolerance. This
enables authenticity determination on an area excluding a soiled portion due to oil
stain in a case that the abnormal area 211 is such a portion, capable of reducing
misdetermination of a soiled note due to oil stain as a counterfeit note.
[0061] Specifically, in a case that the second determination unit 12b determines that at
least one determination target area 221 is within the tolerance relative to the reference
data set for an infrared transmission image, the main determination unit 12c defines
an area at least excluding one or more abnormal areas 211 in the infrared reflection
image 210 corresponding to the one or more determination target areas 221 determined
as being within the tolerance (i.e., one or more areas at the same positions as the
one or more determination target areas 221) as an authenticity determination area
to be processed in authenticity determination processing. The main determination unit
12c then executes authenticity determination processing on the authenticity determination
area by a common method. For example, in an example illustrated in Figs. 5 and 6,
the abnormal area 211 on the right side of the infrared reflection image 210 is excluded
from the authenticity determination area because the pixel value of each pixel of
the corresponding determination target area 221 on the right side of the infrared
transmission image 220 is greater than the respective reference value.
[0062] When the second determination unit 12b determines that at least one determination
target area 221 is not within the tolerance relative to the reference data set for
an infrared transmission image, the main determination unit 12c executes the following
processing. Specifically, the main determination unit 12c compares the size of each
of one or more abnormal areas 211 corresponding to the one or more determination target
areas 221 determined as being not within the tolerance with the size reference value
stored in the storage unit 30. When the size of an abnormal area 211 is smaller than
the size reference value, the main determination unit 12c executes authenticity determination
processing (second main determination step) on the infrared reflection image 210 at
least excluding this abnormal area 211. This enables authenticity determination on
an area excluding a locally soiled portion having a small size in a case that the
abnormal area 211 is such a portion, capable of reducing misdetermination of a soiled
note due to local soil as a counterfeit note.
[0063] More specifically, in a case that the second determination unit 12b determines that
at least one determination target area 221 is not within the tolerance relative to
the reference data set for an infrared transmission image, the main determination
unit 12c specifies one or more abnormal areas 211 corresponding to the one or more
determination target areas 221 determined as being not within the tolerance (i.e.,
one or more areas at the same portions as the one or more determination target areas
221) and calculates the size of each area. The main determination unit 12c compares
the calculated size of each abnormal area 211 with the size reference value stored
in the storage unit 30. When the size of an abnormal area 211 is smaller than the
size reference value, the main determination unit 12c determines the area excluding
this abnormal area 211 (the abnormal area having a size smaller than the size reference
value) in the infrared reflection image 210 as the authenticity determination area.
The main determination unit 12c then executes authenticity determination processing
on the authenticity determination area by a common method. For example, in an example
illustrated in Figs. 5 and 6, the pixel value of each pixel of the determination target
areas 221 at the center and on the left side of the infrared transmission image 220
is not higher than the respective reference value, but the size of each corresponding
abnormal area 211 on the left side in the infrared reflection image 210 is smaller
than the size reference value. Thus, these abnormal areas 211 are excluded from the
authenticity determination area. In contrast, the size of the corresponding abnormal
area 211 at the center in the infrared reflection image 210 is not smaller than the
size reference value. Thus, this abnormal area 211 is not excluded from the authenticity
determination area.
[0064] Calculation of the size of each abnormal area 211 by the second determination unit
12b may be performed by a method in which the infrared reflection image 210 is binarized,
followed by filtering or labelling, and the number of pixels constituting each abnormal
area 211 is calculated, for example.
[0065] In the case of filtering, for example, the infrared reflection image 210 is first
binarized and the binarized banknote area is subjected to black-white inversion. Thereby,
as illustrated in the upper case of Fig. 7, portions having a low infrared reflection
output, i.e., suspected as being counterfeit, become white pixels. Then, a predetermined
filtering operation is performed. The pixel values of the respective pixels are compared
with a predetermined threshold. Pixels exceeding the threshold are determined as counterfeit
pixels and the number thereof is counted. Provided that the threshold is set to 3,
for example, the four pixels at the center in the left case of Fig. 7 are within the
tolerance of the threshold and no counterfeit pixel is detected. In contrast, the
four pixels at the center in the right case of Fig. 7 are outside the tolerance of
the threshold and detected as counterfeit pixels.
<Banknote recognition processing>
[0066] The processing by the banknote recognition unit 1 is described with reference to
Fig. 8. This processing is performed on banknotes fed into the banknote recognition
unit 1 one by one in a repetitive manner.
[0067] As a banknote is fed into the banknote recognition unit 1 (S11: YES), the recognition
unit 11 recognizes, as described above, the denomination of the banknote based on
images of the upper and lower surfaces of the banknote acquired by the image acquisition
unit 21 and a template for denomination recognition (S12).
[0068] Then, as described above, the first determination unit 12a executes a first determination
processing of comparing the infrared reflection image (first infrared image) 210 of
the banknote with a reference data set for an infrared reflection image (first reference
data set) corresponding to the denomination recognized in Step S12 to determine whether
the infrared reflection image 210 includes an abnormal area 211 that is outside a
tolerance relative to the reference data set for an infrared reflection image (S13).
[0069] When the infrared reflection image 210 includes one or more abnormal areas 211, as
described above, the second determination unit 12b executes a second determination
processing of comparing one or more determination target areas 221 in the infrared
transmission image (second infrared image) 220 of the banknote corresponding to the
one or more abnormal areas 211 with a reference data set for an infrared transmission
image (second reference data set) corresponding to the denomination recognized in
Step S12 to determine whether each determination target area 221 is within a tolerance
relative to the reference data set for an infrared transmission image (S14).
[0070] When at least one determination target area 221 is determined as being within the
tolerance relative to the reference data set for an infrared transmission image in
Step S14, the main determination unit 12c excludes, as described above, one or more
abnormal areas 211 corresponding to the one or more determination target areas 221
determined as being within the tolerance from the authenticity determination area
of the infrared reflection image 210 (S15).
[0071] When at least one determination target area 221 is determined as being not within
the tolerance relative to the reference data set for an infrared transmission image
in Step S14, the size of each of one or more abnormal areas 211 corresponding to the
one or more determination target areas 221 determined as being not within the tolerance
is compared with the size reference value. When the size of an abnormal area 211 is
smaller than the size reference value, this abnormal area 211 is also excluded from
the authenticity determination area of the infrared reflection image 210 (S15).
[0072] Then, as described above, the main determination unit 12c executes authenticity determination
processing on the authenticity determination area defined in Step S15 to determine
the authenticity of the banknote (S16) .
[0073] The processing relating to the authenticity determination through Steps S13 to S16
is performed on both the upper surface and the lower surface of the banknote.
[0074] In other words, the aforementioned authenticity determination processing based on
the infrared reflection image 210 of the upper surface of the banknote and the infrared
transmission image 220 of the banknote is performed and the aforementioned authenticity
determination processing based on the infrared reflection image 210 of the lower surface
of the banknote and the infrared transmission image 220 of the banknote is performed.
[0075] The authenticity determination unit 12 matches each of the detection signal from
the magnetism detection unit 22 and the detection signal from the UV detection unit
23 to the respective reference data set for authenticity recognition to determine
the authenticity of the banknote (S17) .
[0076] When the authenticity determination results in Steps S16 and S17 each demonstrate
that the banknote is genuine (S18: YES), the authenticity determination unit 12 determines
the banknote as a genuine note (S19). When at least one of the authenticity determination
results in Steps S16 and S17 demonstrates that the banknote is counterfeit (S18: NO),
the authenticity determination unit 12 determines the banknote as a counterfeit note
(S20).
[0077] When the banknote is determined as a genuine note, the fitness determination unit
13 determines the fitness of the banknote (S21).
[0078] Then, the control unit 10 feeds the banknote after the authenticity determination
and the fitness determination out of the banknote recognition unit 1 (S22), completing
the processing by the banknote recognition unit 1.
[0079] As described above, in the present embodiment, the first determination unit 12a detects,
as an abnormal area 211, a portion suspected as being counterfeit based on the infrared
reflection image 210 of a banknote; the second determination unit 12b determines whether
the determination target area 221 corresponding to the abnormal area 211 is a soiled
portion due to oil stain based on the infrared transmission image 220; and in a case
that the determination target area 221 is determined as a soiled portion due to oil
stain, the main determination unit 12c executes authenticity determination processing
on an authenticity determination area at least excluding the abnormal area 211 in
the infrared reflection image 210. This can reduce misdetermination of a soiled note
due to oil stain as a counterfeit note.
[0080] Further, in the present embodiment, even in a case that the second determination
unit 12b determines the determination target area 221 as a counterfeit portion, the
main determination unit 12c determines whether the abnormal area 211 is a locally
soiled portion based on the size of the abnormal area 211 corresponding to the determination
target area 221. When the abnormal area 211 is a locally soiled portion, the main
determination unit 12c executes authenticity determination processing with the abnormal
area 211 also being excluded from the authenticity determination area. This can reduce
misdetermination of a soiled note due to local soil as a counterfeit note.
[0081] Described in the above embodiment is the case where the determination is performed
first on the infrared reflection image 210 and then on the infrared transmission image
220, i.e., the case where the first infrared image is the infrared reflection image
210, the first determination unit 12a compares the infrared reflection image 210 with
the reference data set for an infrared reflection image, the second infrared image
is the infrared transmission image 220, and the second determination unit 12b compares
the determination target area 221 of the infrared transmission image 220 with the
reference data set for an infrared transmission image. Alternatively, the determination
may be performed first on the infrared transmission image 220 and then on the infrared
reflection image 210. In other words, the first infrared image may be the infrared
transmission image 220, the first determination unit 12a may compare the infrared
transmission image 220 with the reference data set for an infrared transmission image,
the second infrared image may be the infrared reflection image 210, and the second
determination unit 12b may compare the determination target area of the infrared reflection
image 210 with the reference data set for an infrared reflection image. This case
is fundamentally the same as the case where the determination is performed first on
the infrared reflection image 210 and then on the infrared transmission image 220,
except that the order of the processes is inverted. For example, the following processes
(1) to (3) may be performed in the stated order:
- (1) a first determination of comparing the infrared transmission image 220 with the
reference data set for an infrared transmission image to determine whether the infrared
transmission image 220 includes an abnormal area that is outside the tolerance relative
to the reference data set for an infrared transmission image;
- (2) a second determination of comparing, in a case that the infrared transmission
image 220 includes an abnormal area, a determination target area of the infrared reflection
image 210 corresponding to the abnormal area with the reference data set for an infrared
reflection image to determine whether the determination target area is within the
tolerance relative to the reference data set for an infrared reflection image; and
- (3) authenticity determination processing on an area at least excluding the abnormal
area of the infrared transmission image 220 in a case that the second determination
demonstrates that the determination target area is within the tolerance relative to
the reference data set for an infrared reflection image.
[0082] As described hereinabove, embodiments of the present invention are described with
reference to the drawings. Still, the above embodiments are not intended to limit
the present invention. The structures of the embodiments may be combined or modified
as appropriate within the spirit of the present invention.
INDUSTRIAL APPLICABILITY
[0083] As described above, the present invention provides a technique useful for reducing
misdetermination of determining a soiled note as a counterfeit note using a banknote
recognition unit and in a banknote recognition method.
REFERENCE SIGNS LIST
[0084]
- 1:
- banknote recognition unit
- 10:
- control unit
- 11:
- recognition unit
- 12:
- authenticity determination unit
- 12a:
- first determination unit
- 12b:
- second determination unit
- 12c:
- main determination unit
- 13:
- fitness determination unit
- 20:
- detection unit
- 21:
- image acquisition unit
- 22:
- magnetism detection unit
- 23:
- UV detection unit
- 30:
- storage unit
- 110, 120:
- optical line sensor
- 111, 121:
- reflection light source
- 112, 122:
- condenser
- 113, 123:
- light receiving unit
- 124:
- transmission light source
- 210:
- infrared reflection image
- 211:
- abnormal area
- 220:
- infrared transmission image
- 221:
- determination target area
- 300:
- banknote handling device
- 301:
- hopper
- 302:
- rejection unit
- 303:
- operation unit
- 305:
- display
- 306a to 306d:
- stacking unit
- 310:
- housing
- 311:
- transport path
- BN:
- banknote
1. A banknote recognition unit (1) for recognizing a banknote, comprising:
an image acquisition unit (21) configured to acquire an infrared reflection image
(210) and an infrared transmission image (220) of a banknote (BN);
a storage unit (30) configured to store a reference data set for an infrared reflection
image and a reference data set for an infrared transmission image each based on a
fit banknote;
a first determination unit (12a) configured to compare a first infrared image (210,
220) with a first reference data set to determine whether the first infrared image
(210, 220) includes an abnormal area (211) that is outside a tolerance relative to
the first reference data set, the first infrared image (210, 220) being one selected
from the infrared reflection image (210) and the infrared transmission image (220)
each acquired by the image acquisition unit, and the first reference data set being
one selected from the reference data set for an infrared reflection image and the
reference data set for an infrared transmission image;
a second determination unit (12b) configured to compare, in a case that the first
infrared image (210, 220) includes the abnormal area (211), a determination target
area (221) of a second infrared image (210, 220) with a second reference data set
to determine whether the determination target area (221) is within a tolerance relative
to the second reference data set, the determination target area (221) being an area
corresponding to the abnormal area (211), the second infrared image (210, 220) being
the other of the infrared reflection image and the infrared transmission image, and
the second reference data set being the other of the reference data set for an infrared
reflection image and the reference data set for an infrared transmission image; and
a main determination unit (12c) configured to execute authenticity determination processing
on an area at least excluding the abnormal area (211) of the first infrared image
(210, 220) in a case that the second determination unit (12b) determines that the
determination target area (221) is within the tolerance relative to the second reference
data set.
2. The banknote recognition unit according to claim 1,
wherein
the storage unit (30) further stores a reference value of a size of the abnormal area
(211), and
in a case that the first infrared image (210, 220) includes the abnormal area (221)
and the second determination unit (12b) determines that the determination target area
(221) is not within the tolerance relative to the second reference data set, the main
determination unit (12c) is configured to compare the size of the abnormal area (211)
with the reference value stored in the storage unit and to execute, in a case that
the size of the abnormal area (211) is smaller than the reference value, authenticity
determination processing on an area at least excluding the abnormal area (211) of
the first infrared image.
3. The banknote recognition unit according to claim 1 or 2, wherein
the first infrared image (210, 220) is the infrared reflection image (210),
the first determination unit (12a) is configured to compare the infrared reflection
image (210) with the reference data set for an infrared reflection image,
the second infrared image (210, 220) is the infrared transmission image (220), and
the second determination unit (12b) is configured to compare the determination target
area (221) of the infrared transmission image (220) with the reference data set for
an infrared transmission image.
4. The banknote recognition unit according to claim 3,
wherein
the reference data set for an infrared reflection image includes a reference value
of a pixel value of each pixel of the infrared reflection image,
the reference data set for an infrared transmission image includes a reference value
of a pixel value of each pixel of the infrared transmission image,
the first determination unit (12a) is configured to determine, as the abnormal area
(211), an area including pixels each having a pixel value smaller than the respective
reference value that is included in the reference data set for an infrared reflection
image in the infrared reflection image, and
the second determination unit (12b) is configured to determine that the determination
target area (221) is within the tolerance relative to the reference data set for an
infrared transmission image in a case that the pixel value of each pixel of the determination
target area (221) is greater than the respective reference value that is included
in the reference data set for an infrared transmission image.
5. The banknote recognition unit according to claim 1 or 2, wherein
the first infrared image (210, 220) is the infrared transmission image (220),
the first determination unit (12a) is configured to compare the infrared transmission
image (220) with the reference data set for an infrared transmission image,
the second infrared image (210, 220) is the infrared reflection image (210), and
the second determination unit (12b) is configured to compare the determination target
area (221) of the infrared reflection image with the reference data set for an infrared
reflection image.
6. A banknote handling device comprising the banknote recognition unit according to any
one of claims 1 to 5.
7. A banknote recognition method for recognizing a banknote, comprising:
an image acquisition step (S12) of acquiring an infrared reflection image (210) and
an infrared transmission image (220) of a banknote (BN);
a first determination step (S13) of comparing a first infrared image (210, 220) with
a first reference data set to determine whether the first infrared image (210, 220)
includes an abnormal area (211) that is outside a tolerance relative to the first
reference data set, the first infrared image (210, 220) being one selected from the
infrared reflection image (210) and the infrared transmission image (220) each acquired
in the image acquisition step (S12), and the first reference data set being one selected
from a reference data set for an infrared reflection image and a reference data set
for an infrared transmission image each based on a fit banknote;
a second determination step (S14) of comparing, in a case that the first infrared
image (210, 220) includes the abnormal area (211), a determination target area (221)
of a second infrared image (210, 220) with a second reference data set to determine
whether the determination target area (221) is within a tolerance relative to the
second reference data set, the determination target area (221) being an area corresponding
to the abnormal area, the second infrared image (210, 220) being the other of the
infrared reflection image (210) and the infrared transmission image, and the second
reference data set being the other of the reference data set for an infrared reflection
image and the reference data set for an infrared transmission image; and
a main determination step (S16-S21) of executing authenticity determination processing
on an area at least excluding the abnormal area (211) of the first infrared image
(210, 220) in a case that the determination target area (221) is determined as being
within the tolerance relative to the second reference data set in the second determination
step (S14).
8. The banknote recognition method according to claim 7, wherein
in a case that the first infrared image (210, 220) includes the abnormal area (221)
and the second determination step (S14) determines that the determination target area
(221) is not within the tolerance relative to the second reference data set, the main
determination step (S16-S21) includes comparing a size of the abnormal area (211)
with a reference value of the size of the abnormal area and executing, in a case that
the size of the abnormal area (211) is smaller than the reference value, authenticity
determination processing on an area at least excluding the abnormal area (211) of
the first infrared image.
9. The banknote recognition method according to claim 7 or 8, wherein
the first infrared image (210, 220) is the infrared reflection image (210),
the first determination step (S13) includes comparing the infrared reflection image
(210) with the reference data set for an infrared reflection image,
the second infrared image (210, 220) is the infrared transmission image (220), and
the second determination step (S14) includes comparing the determination target area
(221) of the infrared transmission image (220) with the reference data set for an
infrared transmission image.
10. The banknote recognition method according to claim 9, wherein
the reference data set for an infrared reflection image includes a reference value
of a pixel value of each pixel of the infrared reflection image,
the reference data set for an infrared transmission image includes a reference value
of a pixel value of each pixel of the infrared transmission image,
the first determination step (S13) includes determining, as the abnormal area (211),
an area including pixels each having a pixel value smaller than the respective reference
value that is included in the reference data set for an infrared reflection image
in the infrared reflection image, and
the second determination step (S14) includes determining that the determination target
area (221) is within the tolerance relative to the reference data set for an infrared
transmission image in a case that the pixel value of each pixel of the determination
target area (221) is greater than the respective reference value that is included
in the reference data set for an infrared transmission image.
11. The banknote recognition unit according to claim 7 or 8, wherein
the first infrared image (210, 220) is the infrared transmission image (220),
the first determination step (S13) includes comparing the infrared transmission image
(220) with the reference data set for an infrared transmission image,
the second infrared image (210, 220) is the infrared reflection image (210), and
the second determination step (S14) includes comparing the determination target area
(221) of the infrared reflection image with the reference data set for an infrared
reflection image.