CN107316373B - A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing - Google Patents
A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing Download PDFInfo
- Publication number
- CN107316373B CN107316373B CN201710452202.3A CN201710452202A CN107316373B CN 107316373 B CN107316373 B CN 107316373B CN 201710452202 A CN201710452202 A CN 201710452202A CN 107316373 B CN107316373 B CN 107316373B
- Authority
- CN
- China
- Prior art keywords
- feature region
- subgraph
- region
- gray value
- average gray
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2075—Setting acceptance levels or parameters
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The invention belongs to financial machine and tool field more particularly to a kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing.The method includes acquiring the infrared transmission image of bank note to be identified；Extract first subgraph in fisrt feature region in the infrared transmission image and second subgraph in second feature region；Calculate separately the first average gray value of first subgraph and the second average gray value of second subgraph；If the deviation amplitude of first average gray value and second average gray value is greater than preset first threshold, determine the bank note to be identified for abnormal coin.Through the invention, special optical property possessed by the abnormal coin pieced together is taken full advantage of, the accuracy rate identified to this abnormal coin pieced together can be greatly improved.
Description
Technical field
The invention belongs to financial machine and tool field more particularly to a kind of Paper Currency Identification, device, terminal device and readable deposit
Storage media.
Background technique
Paper money recognition is one of the basic function of all kinds of ATM machine, and cardinal principle is to utilize the various marks being arranged on bank note
Know the true and false to judge bank note, is come into the market with anti-forge coin, influence normal financial order.
Generally can all there are the anti-counterfeiting marks such as Heisui River print, white watermark, honorable ink, honorable light change on currently used bank note,
Effectively counterfeit money can be identified by these anti-counterfeiting marks.But some criminals can be answered by the abnormal coin pieced together
It is divided into two to detection, such as by a genuine note, is really pieced together with half vacation by viscous mend half, utilize genuine note
On anti-counterfeiting mark get by under false pretences, the accuracy rate that traditional paper money recognition means identify this abnormal coin pieced together compared with
It is low.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of Paper Currency Identification, device, terminal device and readable storage mediums
Matter, it is lower to the accuracy rate that coin is identified is pieced together in the prior art to solve the problems, such as.
The first aspect of the embodiment of the present invention provides a kind of Paper Currency Identification, may include:
Acquire the infrared transmission image of bank note to be identified；
Extract fisrt feature region in the infrared transmission image the first subgraph and second feature region second
Subgraph, the fisrt feature region are the region at the number place that the bank note back side to be identified upper left side indicates denomination, institute
State the region that second feature region is the number place that the bank note back side to be identified upper right side indicates denomination；
Calculate separately the first average gray value of first subgraph and the second average gray of second subgraph
Value；
If the deviation amplitude of first average gray value and second average gray value is greater than preset first threshold,
Determine the bank note to be identified then for abnormal coin, the first threshold is positive number.
Further, first subgraph for extracting fisrt feature region in the infrared transmission image and the second spy
Sign region the second subgraph may include:
Reference feature region is oriented from the infrared transmission image, the reference feature region is Heisui River print, plain boiled water
Region where print and/or crown word number；
The fisrt feature region is oriented according to the reference feature region and the first relative positional relationship, described
One relative positional relationship is the reference feature region and described first described in standard bank note corresponding with the bank note to be identified
Relative positional relationship between characteristic area；
The second feature region is oriented according to the reference feature region and the second relative positional relationship, described
Two relative positional relationships are opposite between the reference feature region described in the standard bank note and the second feature region
Positional relationship；
Extract first subgraph in fisrt feature region described in the infrared transmission image；
Extract second subgraph in second feature region described in the infrared transmission image.
Further, the reference feature region of orienting from the infrared transmission image may include:
The reference feature region is estimated described according to position of the reference feature region in the standard bank note
Target area in infrared transmission image；
Binary conversion treatment is carried out to the image in the target area, obtains bianry image；
On the bianry image, first movement window is moved line by line, and obtains presently described first movement window place
First accumulated value of the grey scale pixel value in region, after the first movement window is completed to traverse the row of the bianry image,
Determine reference feature described in the first behavior of corresponding first movement window region when the first accumulated value maximum
The initial row in region, the first movement window are the preset height and the target area according to the reference feature region
Width is formed by window；
It keeps the first row of the second moving window to be overlapped with the initial row, moves the second moving window by column, and obtain
Second accumulated value of the grey scale pixel value of presently described second moving window region, when second moving window completion pair
After the column traversal of the bianry image, corresponding second moving window region when the second accumulated value maximum is determined
First be classified as the reference feature region starting column, second moving window be according to the pre- of the reference feature region
If height and predetermined width are formed by window；
It is oriented according to the preset height and predetermined width of the initial row, starting column and the reference feature region
The reference feature region.
Further, in extracting the infrared transmission image fisrt feature region the first subgraph and second feature
After second subgraph in region, can also include:
Calculate separately the first variance of the gray value of first subgraph and the gray value second of second subgraph
Variance；
If the first variance or the second variance are greater than preset second threshold, determine that the bank note to be identified is
Abnormal coin, no longer execution subsequent step, the second threshold are positive number；
If the first variance and the second variance are respectively less than or are equal to the second threshold, executes and described count respectively
Calculate first subgraph the first average gray value and second subgraph the second average gray value the step of.
Further, the of the first average gray value and second subgraph for calculating separately first subgraph
After two average gray values, can also include:
If the deviation amplitude of first average gray value and second average gray value is less than or equal to described first
Threshold value, then orient third feature region from the infrared transmission image, and the third feature region is the paper to be identified
Region where the phonetic alphabet of coin back side；
The first subregion and the second subregion are chosen from the third feature region, first subregion is in phonetic word
Length on busbar column direction is preset first length, and length of second subregion in phonetic alphabet orientation is
Preset second length, first subregion are located at the left side of second subregion；
Calculate separately the figure in the third average gray value and second subregion of the image in first subregion
4th average gray value of picture；
If the deviation amplitude of the third average gray value and the 4th average gray value is greater than preset third threshold value,
Determine the bank note to be identified then for abnormal coin, the third threshold value is positive number.
The second aspect of the embodiment of the present invention provides a kind of paper money identifier, may include:
Image capture module, for acquiring the infrared transmission image of bank note to be identified；
Subgraph extraction module, for extract fisrt feature region in the infrared transmission image the first subgraph and
Second subgraph in second feature region, the fisrt feature region are that the bank note back side to be identified upper left side indicates denomination
Region where number, the second feature region are the number place that the bank note back side to be identified upper right side indicates denomination
Region；
First computing module, for calculating separately the first average gray value and second subgraph of first subgraph
Second average gray value of picture；
First determination module, if the deviation amplitude for first average gray value and second average gray value is big
In preset first threshold, then the bank note to be identified is determined for abnormal coin, the first threshold is positive number.
Further, the subgraph extraction module may include:
Reference feature zone location unit, it is described for orienting reference feature region from the infrared transmission image
Reference feature region is the region where Heisui River print, white watermark and/or crown word number；
Fisrt feature zone location unit, for being positioned according to the reference feature region and the first relative positional relationship
The fisrt feature region out, first relative positional relationship are the institute in standard bank note corresponding with the bank note to be identified
State the relative positional relationship between reference feature region and the fisrt feature region；
Second feature zone location unit, for being positioned according to the reference feature region and the second relative positional relationship
The second feature region out, second relative positional relationship are the reference feature region described in the standard bank note and institute
State the relative positional relationship between second feature region；
First subgraph extraction unit, for extracting described in fisrt feature region described in the infrared transmission image
First subgraph；
Second subgraph extraction unit, for extracting described in second feature region described in the infrared transmission image
Second subgraph.
Further, the reference feature zone location unit may include:
Subelement is estimated in target area, for being estimated according to position of the reference feature region in the standard bank note
Target area of the reference feature region in the infrared transmission image；
Binary conversion treatment subelement obtains binary map for carrying out binary conversion treatment to the image in the target area
Picture；
Initial row determines subelement, in the bianry image, moving first movement window line by line, and obtains current
First accumulated value of the grey scale pixel value of first movement window region, when the first movement window is completed to described
After the row traversal of bianry image, the of corresponding first movement window region when the first accumulated value maximum is determined
The initial row in reference feature region described in one behavior, the first movement window are the default height according to the reference feature region
Degree and the width of the target area are formed by window；
Starting, which arranges, determines that subelement moves by column for keeping the first row of the second moving window to be overlapped with the initial row
Dynamic second moving window, and the second accumulated value of the grey scale pixel value of presently described second moving window region is obtained, when
After second moving window completes the column traversal to the bianry image, corresponding institute when the second accumulated value maximum is determined
The first of the second moving window region starting column for being classified as the reference feature region are stated, second moving window is root
Window is formed by according to the preset height and predetermined width in the reference feature region；
Reference feature zone location subelement, for according to the initial row, starting column and the reference feature region
Preset height and predetermined width orient the reference feature region.
Further, the paper money identifier can also include:
Variance computing module, for calculate separately the gray value of first subgraph first variance and it is described second son
The gray value second variance of image；
Second determination module is sentenced if being greater than preset second threshold for the first variance or the second variance
The fixed bank note to be identified is abnormal coin, no longer execution subsequent step, and the second threshold is positive number；
Third determination module, if second threshold is respectively less than or be equal to for the first variance and the second variance
Value, then calculate separately the first average gray value of first subgraph described in execution and the second of second subgraph is averaged
The step of gray value.
Further, the paper money identifier can also include:
Third feature zone location module, if for the inclined of first average gray value and second average gray value
Spread degree is less than or equal to the first threshold, then orients third feature region from the infrared transmission image, and described the
Three characteristic areas are the region where the phonetic alphabet of the bank note back side to be identified；
Subregion chooses module, for choosing the first subregion and the second subregion, institute from the third feature region
Stating length of first subregion in phonetic alphabet orientation is preset first length, and second subregion is in phonetic word
Length on busbar column direction is preset second length, and first subregion is located at the left side of second subregion；
Second computing module, for calculating separately the third average gray value of the image in first subregion and described
4th average gray value of the image in the second subregion；
4th determination module, if the deviation amplitude for the third average gray value and the 4th average gray value is big
In preset third threshold value, then the bank note to be identified is determined for abnormal coin, the third threshold value is positive number.
The third aspect of the embodiment of the present invention provide a kind of paper money recognition terminal device, including memory, processor with
And store the computer program that can be run in the memory and on the processor, which is characterized in that the processor
The step of realizing any of the above Paper Currency Identification when executing the computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, which is characterized in that any of the above paper is realized when the computer program is executed by processor
The step of coin recognition methods.
Existing beneficial effect is the present invention compared with prior art: the present invention acquires the infrared transmission figure of bank note to be identified
Picture；Extract first subgraph in fisrt feature region in the infrared transmission image and second subgraph in second feature region
Picture, the fisrt feature region are that the bank note back side to be identified upper left side indicates region where the number of denomination, described the
Two characteristic areas are the region at the number place that the bank note back side to be identified upper right side indicates denomination；Calculate separately described first
Second average gray value of the first average gray value of subgraph and second subgraph；If first average gray value with
The deviation amplitude of second average gray value is greater than preset first threshold, then determines the bank note to be identified for abnormal coin.
Through the invention, the infrared transmission image of bank note to be identified is acquired first, and extracts bank note from the infrared transmission image
Then the subgraph of the denomination numeric area of back side left and right side calculates separately the average gray value of the two, due to genuine note
Printing technology is more consummate, it is ensured that the gray value of the two is substantially at same level, and pieces together the technique of the forgery part of coin
Difference is larger therewith, therefore the gray value of the two will appear apparent deviation, can efficiently identify out the exception pieced together accordingly
Coin.Compared with prior art, technical solution of the present invention is as taking full advantage of special optical possessed by the abnormal coin pieced together
The accuracy rate identified to this abnormal coin pieced together can be greatly improved in property.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the schematic flow diagram for the Paper Currency Identification that the embodiment of the present invention one provides；
Fig. 2 be extract fisrt feature region in infrared transmission image the first subgraph and second feature region second
The schematic flow diagram of subgraph；
Fig. 3 is the schematic flow diagram of Paper Currency Identification provided by Embodiment 2 of the present invention；
Fig. 4 is the schematic block diagram for the paper money identifier that the embodiment of the present invention three provides；
Fig. 5 is the schematic block diagram of paper money recognition terminal device provided in an embodiment of the present invention.
Specific embodiment
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Embodiment one:
As shown in Figure 1, being a kind of schematic flow diagram of Paper Currency Identification provided in an embodiment of the present invention, the method can
To include:
Step S101 acquires the infrared transmission image of bank note to be identified.
In the present embodiment, the bank note to be identified is the 5th set of RMB of 100 yuan of denominations.
Step S102 extracts the first subgraph and the second feature area in fisrt feature region in the infrared transmission image
Second subgraph in domain.
The fisrt feature region is the region at the number place that the bank note back side to be identified upper left side indicates denomination, institute
State the region that second feature region is the number place that the bank note back side to be identified upper right side indicates denomination.
Preferably, as shown in Fig. 2, step S102 can specifically include:
Step S1021 orients reference feature region from the infrared transmission image.
The reference feature region is the region where Heisui River print, white watermark and/or crown word number.Due to described infrared
Fisrt feature region and second feature region in image is penetrated to be closer to periphery background, it is difficult to directly it is accurately positioned, therefore, this
Embodiment carries out indirect addressing to it by positioning reference feature region.
Positioning reference feature region can specifically include:
The reference feature region is estimated described according to position of the reference feature region in the standard bank note
Target area in infrared transmission image；
The Probability Area is the region being likely to occur of the reference feature region on the image.In the present embodiment,
The Probability Area can be according to historical statistical data come preset.In order to reduce operand or treating capacity, interception can first
Energy region, and gray processing and binary conversion treatment are carried out to the image of Probability Area.
Binary conversion treatment is carried out to the image in the target area, obtains bianry image；
On the bianry image, first movement window is moved line by line, and obtains presently described first movement window place
First accumulated value of the grey scale pixel value in region, after the first movement window is completed to traverse the row of the bianry image,
Determine reference feature described in the first behavior of corresponding first movement window region when the first accumulated value maximum
The initial row in region, the first movement window are the preset height and the target area according to the reference feature region
Width is formed by window；
It keeps the first row of the second moving window to be overlapped with the initial row, moves the second moving window by column, and obtain
Second accumulated value of the grey scale pixel value of presently described second moving window region, when second moving window completion pair
After the column traversal of the bianry image, corresponding second moving window region when the second accumulated value maximum is determined
First be classified as the reference feature region starting column, second moving window be according to the pre- of the reference feature region
If height and predetermined width are formed by window；
It is oriented according to the preset height and predetermined width of the initial row, starting column and the reference feature region
The reference feature region.
Step S1022 orients the fisrt feature according to the reference feature region and the first relative positional relationship
Region.
First relative positional relationship is the reference feature described in standard bank note corresponding with the bank note to be identified
Relative positional relationship between region and the fisrt feature region；
Step S1023 orients the second feature according to the reference feature region and the second relative positional relationship
Region.
Second relative positional relationship is the reference feature region described in the standard bank note and the second feature
Relative positional relationship between region.
Step S1024 extracts first subgraph in fisrt feature region described in the infrared transmission image.
Step S1025 extracts second subgraph in second feature region described in the infrared transmission image.
Optionally, after step s 102, can also include:
Calculate separately the first variance of the gray value of first subgraph and the gray value second of second subgraph
Variance；
Judge whether the first variance or the second variance are greater than preset second threshold, in genuine note, the first son
The gray value of image and the second subgraph is more uniformly, not fluctuate significantly；
If the first variance or the second variance are greater than preset second threshold, determine that the bank note to be identified is
Abnormal coin, no longer execution subsequent step, the second threshold are positive number；
If the first variance and the second variance are respectively less than or are equal to the second threshold, S103 is thened follow the steps.
Step S103, calculate separately first subgraph the first average gray value and second subgraph second
Average gray value.
Step S104, judges whether first average gray value and the deviation amplitude of second average gray value are greater than
Preset first threshold；
Preferably, the deviation amplitude can be characterized with the absolute value of the difference of the two.
If the deviation amplitude of first average gray value and second average gray value is greater than preset first threshold,
S105 is thened follow the steps, conversely, thening follow the steps S106, the first threshold is positive number.
Step S105 determines that the bank note to be identified is abnormal coin.
Step S106, it is further to the bank note to be identified to be identified.
In conclusion this programme embodiment acquires the infrared transmission image of bank note to be identified；Extract the infrared transmission
Second subgraph of first subgraph in fisrt feature region and second feature region in image, the fisrt feature region are institute
Stating the bank note back side to be identified upper left side indicates the region at number place of denomination, and the second feature region is the paper to be identified
Coin back side upper right side indicates the region where the number of denomination；Calculate separately first subgraph the first average gray value and
Second average gray value of second subgraph；If the deviation of first average gray value and second average gray value
Amplitude is greater than preset first threshold, then determines the bank note to be identified for abnormal coin.Through the embodiment of the present invention, it acquires first
The infrared transmission image of bank note to be identified, and extract from the infrared transmission image denomination of bank note back side left and right side
The subgraph of numeric area, the average gray value for then calculating separately the two can be protected since the printing technology of genuine note is more consummate
The gray value of both cards is substantially at same level, and pieces together the technique of the forgery part of coin difference is larger therewith, therefore the two
Gray value will appear apparent deviation, the abnormal coin pieced together can be efficiently identified out accordingly.Compared with prior art, this hair
Bright technical solution can be greatly improved as taking full advantage of special optical property possessed by the abnormal coin pieced together to this
The accuracy rate that the abnormal coin pieced together is identified.
Embodiment two:
As shown in figure 3, being a kind of schematic flow diagram of Paper Currency Identification provided in an embodiment of the present invention, the method can
To include:
Step S301 acquires the infrared transmission image of bank note to be identified.
Step S302 extracts the first subgraph and the second feature area in fisrt feature region in the infrared transmission image
Second subgraph in domain.
Step S303, calculate separately first subgraph the first average gray value and second subgraph second
Average gray value.
Wherein, step S301~step S303 is identical as step S101~step S103 in embodiment one, can specifically join
See the description in embodiment one, the present embodiment repeats no more this.
Step S304, judges whether first average gray value and the deviation amplitude of second average gray value are greater than
Preset first threshold.
If the deviation amplitude of first average gray value and second average gray value is greater than preset first threshold,
S305 is thened follow the steps, conversely, thening follow the steps S306, the first threshold is positive number.
Step S305 determines that the bank note to be identified is abnormal coin.
Step S306 orients third feature region from the infrared transmission image.
The third feature region is the region where the phonetic alphabet of the bank note back side to be identified.
Process in step S306 is similar with the process in one step S102 of embodiment, specifically can refer in embodiment one
Description carries out analogy, and the present embodiment repeats no more this.
Step S307 chooses the first subregion and the second subregion from the third feature region.
Length of first subregion in phonetic alphabet orientation is preset first length, second sub-district
Length of the domain in phonetic alphabet orientation is preset second length, and first subregion is located at second subregion
Left side.For example, the region where can choose phonetic alphabet " ZHONGGUO " is first subregion, phonetic alphabet are selected
Region where " YINHANG " is second subregion, it is of course also possible to be arranged according to the actual situation first length and
Second length, the present embodiment are not especially limited this.
Step S308, calculate separately the image in first subregion third average gray value and second sub-district
4th average gray value of the image in domain.
Step S309, judges whether the third average gray value and the deviation amplitude of the 4th average gray value are greater than
Preset third threshold value, the third threshold value are positive number.
Preferably, the deviation amplitude can be characterized with the absolute value of the difference of the two.
If the deviation amplitude of the third average gray value and the 4th average gray value is greater than preset third threshold value,
S310 is thened follow the steps, conversely, thening follow the steps S311.
Step S310 determines that the bank note to be identified is abnormal coin.
Step S311, it is further to the bank note to be identified to be identified.
In conclusion this programme embodiment is on the basis of example 1, is oriented from the infrared transmission image
Three characteristic areas；The first subregion and the second subregion are chosen from the third feature region；Calculate separately first son
4th average gray value of the third average gray value of the image in region and the image in second subregion；If described
The deviation amplitude of three average gray values and the 4th average gray value is greater than preset third threshold value, then determines described to be identified
Bank note is abnormal coin.Through the embodiment of the present invention, two sections of phonetics of bank note back side are extracted from the infrared transmission image
Then the subgraph of letter calculates separately the average gray value of the two, since the printing technology of genuine note is more consummate, it is ensured that two
The gray value of person is substantially at same level, and pieces together the technique of the forgery part of coin difference is larger therewith, therefore the ash of the two
Angle value will appear apparent deviation, can efficiently identify out the abnormal coin pieced together accordingly.Compared with prior art, of the invention
Technical solution can be greatly improved and piece together to this as taking full advantage of special optical property possessed by the abnormal coin pieced together
The accuracy rate that is identified of abnormal coin.
Embodiment three:
As shown in figure 4, be a kind of schematic block diagram of paper money identifier provided in an embodiment of the present invention, described device can be with
Include:
Image capture module 401, for acquiring the infrared transmission image of bank note to be identified；
Subgraph extraction module 402, for extracting first subgraph in fisrt feature region in the infrared transmission image
Second subgraph of picture and second feature region, the fisrt feature region are that the bank note back side to be identified upper left side indicates face
Region where the number of volume, the second feature region indicate the digital institute of denomination for the bank note back side to be identified upper right side
Region；
First computing module 403, for calculating separately the first average gray value and described second of first subgraph
Second average gray value of subgraph；
First determination module 404, if the deviation width for first average gray value and second average gray value
Degree is greater than preset first threshold, then determines the bank note to be identified for abnormal coin, the first threshold is positive number.
Further, the subgraph extraction module 402 may include:
Reference feature zone location unit 4021, for orienting reference feature region from the infrared transmission image,
The reference feature region is the region where Heisui River print, white watermark and/or crown word number；
Fisrt feature zone location unit 4022, for according to the reference feature region and the first relative positional relationship
Orient the fisrt feature region, first relative positional relationship is in standard bank note corresponding with the bank note to be identified
Described in relative positional relationship between reference feature region and the fisrt feature region；
Second feature zone location unit 4023, for according to the reference feature region and the second relative positional relationship
The second feature region is oriented, second relative positional relationship is the reference feature region described in the standard bank note
With the relative positional relationship between the second feature region；
First subgraph extraction unit 4024, for extracting fisrt feature region described in the infrared transmission image
First subgraph；
Second subgraph extraction unit 4025, for extracting second feature region described in the infrared transmission image
Second subgraph.
Further, the reference feature zone location unit 4021 may include:
Subelement is estimated in target area, for being estimated according to position of the reference feature region in the standard bank note
Target area of the reference feature region in the infrared transmission image；
Binary conversion treatment subelement obtains binary map for carrying out binary conversion treatment to the image in the target area
Picture；
Initial row determines subelement, in the bianry image, moving first movement window line by line, and obtains current
First accumulated value of the grey scale pixel value of first movement window region, when the first movement window is completed to described
After the row traversal of bianry image, the of corresponding first movement window region when the first accumulated value maximum is determined
The initial row in reference feature region described in one behavior, the first movement window are the default height according to the reference feature region
Degree and the width of the target area are formed by window；
Starting, which arranges, determines that subelement moves by column for keeping the first row of the second moving window to be overlapped with the initial row
Dynamic second moving window, and the second accumulated value of the grey scale pixel value of presently described second moving window region is obtained, when
After second moving window completes the column traversal to the bianry image, corresponding institute when the second accumulated value maximum is determined
The first of the second moving window region starting column for being classified as the reference feature region are stated, second moving window is root
Window is formed by according to the preset height and predetermined width in the reference feature region；
Reference feature zone location subelement, for according to the initial row, starting column and the reference feature region
Preset height and predetermined width orient the reference feature region.
Further, the paper money identifier can also include:
Variance computing module 405, for calculating separately the first variance and described of the gray value of first subgraph
The gray value second variance of two subgraphs；
Second determination module 406, if being greater than preset second threshold for the first variance or the second variance,
The bank note to be identified is determined for abnormal coin, and no longer execution subsequent step, the second threshold are positive number；
Third determination module 407, if being respectively less than for the first variance and the second variance or equal to described second
Threshold value, then execute described in calculate separately first subgraph the first average gray value and second subgraph it is second flat
The step of equal gray value.
Further, the paper money identifier can also include:
Third feature zone location module 408, if for first average gray value and second average gray value
Deviation amplitude be less than or equal to the first threshold, then third feature region, institute are oriented from the infrared transmission image
State the region where the phonetic alphabet that third feature region is the bank note back side to be identified；
Subregion chooses module 409, for choosing the first subregion and the second subregion from the third feature region,
Length of first subregion in phonetic alphabet orientation is preset first length, and second subregion is in phonetic
Length on alphanumeric arrangement direction is preset second length, and first subregion is located at the left side of second subregion；
Second computing module 410, for calculate separately the image in first subregion third average gray value and
4th average gray value of the image in second subregion；
4th determination module 411, if the deviation width for the third average gray value and the 4th average gray value
Degree is greater than preset third threshold value, then determines the bank note to be identified for abnormal coin, the third threshold value is positive number.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-mentioned each embodiment, respectively
The execution sequence of process should be determined by its function and internal logic, and the implementation process without coping with the embodiment of the present invention constitutes any
It limits.
Fig. 5 is the schematic block diagram for the paper money recognition terminal device that one embodiment of the invention provides.As shown in figure 5, the implementation
The paper money recognition terminal device 5 of example includes: processor 50, memory 51 and is stored in the memory 51 and can be described
The computer program 52 run on processor 50.The processor 50 realizes above-mentioned each paper when executing the computer program 52
Step in coin recognition methods embodiment, such as step S101 shown in FIG. 1 to step S106.Alternatively, the processor 50 is held
The function of each module/unit in above-mentioned each Installation practice, such as module shown in Fig. 4 are realized when the row computer program 52
401 to module 404 function.
Illustratively, the computer program 52 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 51, and are executed by the processor 50, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 52 in the paper money recognition terminal device 5 is described.For example, the computer program 52
It can be by image capture module, subgraph extraction module, the first computing module and the first determination module.
The paper money recognition terminal device 5 can be the terminals such as cash inspecting machine, deposit machine, cash dispenser and cash recycling system and set
It is standby.The paper money recognition terminal device may include, but be not limited only to, processor 50, memory 51.Those skilled in the art can be with
Understand, Fig. 5 is only the example of paper money recognition terminal device 5, does not constitute the restriction to paper money recognition terminal device 5, can be with
Including than illustrating more or fewer components, perhaps combining certain components or different components, such as paper money recognition end
End equipment 5 can also include input-output equipment, network access equipment, bus etc..
The processor 50 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 51 can be the internal storage unit of the paper money recognition terminal device 5, such as paper money recognition end
The hard disk or memory of end equipment 5.The memory 51 is also possible to the External memory equipment of the paper money recognition terminal device 5,
Such as the plug-in type hard disk being equipped on the paper money recognition terminal device 5, intelligent memory card (Smart Media Card, SMC),
Secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Further, the memory 51 may be used also
With the internal storage unit both including the paper money recognition terminal device 5 or including External memory equipment.The memory 51 is used
Other programs and data needed for storing the computer program and the paper money recognition terminal device 5.The memory
51 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as does not include electric carrier signal and electricity according to legislation and patent practice, computer-readable medium in certain jurisdictions
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of Paper Currency Identification characterized by comprising
Acquire the infrared transmission image of bank note to be identified；
Orient reference feature region from the infrared transmission image, the reference feature region be Heisui River print, white watermark and/
Or the region where crown word number；
Go out first subgraph and in fisrt feature region in the infrared transmission image according to the reference feature extracted region
Second subgraph of two characteristic areas, the fisrt feature region are the number that the bank note back side to be identified upper left side indicates denomination
Region where word, the second feature region are the area at the number place that the bank note back side to be identified upper right side indicates denomination
Domain；
Calculate separately the first average gray value of first subgraph and the second average gray value of second subgraph；
If the deviation amplitude of first average gray value and second average gray value is greater than preset first threshold, sentence
The fixed bank note to be identified is abnormal coin, and the first threshold is positive number；
The reference feature region of orienting from the infrared transmission image includes:
The reference is estimated according to position of the reference feature region in standard bank note corresponding with the bank note to be identified
Target area of the characteristic area in the infrared transmission image；
Binary conversion treatment is carried out to the image in the target area, obtains bianry image；
On the bianry image, first movement window is moved line by line, and obtains presently described first movement window region
Grey scale pixel value the first accumulated value, when the first movement window complete to the bianry image row traverse after, determine
Reference feature region described in first behavior of corresponding first movement window region when the first accumulated value maximum
Initial row, the first movement window be according to the preset height in the reference feature region and the width of the target area
It is formed by window；
It keeps the first row of the second moving window to be overlapped with the initial row, moves the second moving window by column, and obtain current
Second accumulated value of the grey scale pixel value of second moving window region, when second moving window is completed to described
After the column traversal of bianry image, the of corresponding second moving window region when the second accumulated value maximum is determined
One is classified as the starting column in the reference feature region, and second moving window is the default height according to the reference feature region
Degree and predetermined width are formed by window；
It is oriented according to the preset height and predetermined width of the initial row, starting column and the reference feature region described
Reference feature region.
2. Paper Currency Identification according to claim 1, which is characterized in that described according to the reference feature extracted region
First subgraph in fisrt feature region and second subgraph in second feature region include: in the infrared transmission image out
The fisrt feature region, first phase are oriented according to the reference feature region and the first relative positional relationship
To relative position of the positional relationship between the reference feature region described in the standard bank note and the fisrt feature region
Relationship；
The second feature region, second phase are oriented according to the reference feature region and the second relative positional relationship
To relative position of the positional relationship between the reference feature region described in the standard bank note and the second feature region
Relationship；
Extract first subgraph in fisrt feature region described in the infrared transmission image；
Extract second subgraph in second feature region described in the infrared transmission image.
3. Paper Currency Identification according to claim 1, which is characterized in that in extracting the infrared transmission image
After first subgraph of one characteristic area and second subgraph in second feature region, further includes:
Calculate separately the first variance of the gray value of first subgraph and the gray value second variance of second subgraph；
If the first variance or the second variance are greater than preset second threshold, determine that the bank note to be identified is exception
Coin, no longer execution subsequent step, the second threshold are positive number；
If the first variance and the second variance are respectively less than or are equal to the second threshold, institute is calculated separately described in execution
State the first subgraph the first average gray value and second subgraph the second average gray value the step of.
4. Paper Currency Identification according to any one of claim 1 to 3, which is characterized in that calculating separately described
After second average gray value of the first average gray value of one subgraph and second subgraph, further includes:
If the deviation amplitude of first average gray value and second average gray value is less than or equal to the first threshold,
Third feature region is then oriented from the infrared transmission image, the third feature region is the bank note back side to be identified
Region where the phonetic alphabet of top；
The first subregion and the second subregion are chosen from the third feature region, first subregion is arranged in phonetic alphabet
Length on column direction is preset first length, and length of second subregion in phonetic alphabet orientation is default
The second length, first subregion is located at the left side of second subregion；
The third average gray value and image in second subregion for calculating separately the image in first subregion
4th average gray value；
If the deviation amplitude of the third average gray value and the 4th average gray value is greater than preset third threshold value, sentence
The fixed bank note to be identified is abnormal coin, and the third threshold value is positive number.
5. a kind of paper money identifier characterized by comprising
Image capture module, for acquiring the infrared transmission image of bank note to be identified；
Reference feature zone location module, for orienting reference feature region, the reference from the infrared transmission image
Characteristic area is the region where Heisui River print, white watermark and/or crown word number；
Subgraph extraction module, for going out fisrt feature area in the infrared transmission image according to the reference feature extracted region
First subgraph in domain and second subgraph in second feature region, the fisrt feature region are the bank note back side to be identified
Upper left side indicates that the region where the number of denomination, the second feature region are the bank note back side to be identified upper right side expression
Region where the number of denomination；
First computing module, for calculating separately the first average gray value and second subgraph of first subgraph
Second average gray value；
First determination module, if being greater than for the deviation amplitude of first average gray value and second average gray value pre-
If first threshold, then determine the bank note to be identified for abnormal coin, the first threshold be positive number；
The reference feature zone location module includes:
Unit is estimated in target area, for according to the reference feature region in standard bank note corresponding with the bank note to be identified
In position estimate target area of the reference feature region in the infrared transmission image；
Binary conversion treatment unit obtains bianry image for carrying out binary conversion treatment to the image in the target area；
Initial row determination unit moves first movement window in the bianry image line by line, and obtains presently described the
First accumulated value of the grey scale pixel value of one moving window region, when the first movement window is completed to the binary map
After the row traversal of picture, the first behavior of corresponding first movement window region when the first accumulated value maximum is determined
The initial row in the reference feature region, the first movement window is according to the preset height in the reference feature region and institute
The width for stating target area is formed by window；
Column determination unit is originated, for keeping the first row of the second moving window to be overlapped with the initial row, moves second by column
Moving window, and the second accumulated value of the grey scale pixel value of presently described second moving window region is obtained, when described
After two moving windows complete the column traversal to the bianry image, determine corresponding described second when the second accumulated value maximum
The first of moving window region is classified as the starting column in the reference feature region, and second moving window is according to
The preset height and predetermined width in reference feature region are formed by window；
Reference feature zone location unit, for according to the default of the initial row, starting column and the reference feature region
Height and predetermined width orient the reference feature region.
6. paper money identifier according to claim 5, which is characterized in that the subgraph extraction module includes:
Fisrt feature zone location unit, for orienting institute according to the reference feature region and the first relative positional relationship
State fisrt feature region, first relative positional relationship is the reference feature region described in the standard bank note and described the
Relative positional relationship between one characteristic area；
Second feature zone location unit, for orienting institute according to the reference feature region and the second relative positional relationship
State second feature region, second relative positional relationship is the reference feature region described in the standard bank note and described the
Relative positional relationship between two characteristic areas；
First subgraph extraction unit, for extracting described first of fisrt feature region described in the infrared transmission image
Subgraph；
Second subgraph extraction unit, for extracting described second of second feature region described in the infrared transmission image
Subgraph.
7. paper money identifier according to claim 5, which is characterized in that further include:
Variance computing module, for calculate separately the gray value of first subgraph first variance and second subgraph
Gray value second variance；
Second determination module determines institute if being greater than preset second threshold for the first variance or the second variance
Bank note to be identified is stated as abnormal coin, no longer execution subsequent step, the second threshold are positive number；
Third determination module, if the second threshold is respectively less than or is equal to for the first variance and the second variance,
The first average gray value of first subgraph and the second average gray of second subgraph are calculated separately described in execution
The step of value.
8. paper money identifier according to any one of claims 5 to 7, which is characterized in that further include:
Third feature zone location module, if the deviation width for first average gray value and second average gray value
Degree is less than or equal to the first threshold, then third feature region is oriented from the infrared transmission image, and the third is special
Levy the region where the phonetic alphabet that region is the bank note back side to be identified；
Subregion chooses module, for choosing the first subregion and the second subregion from the third feature region, described the
Length of one subregion in phonetic alphabet orientation is preset first length, and second subregion is arranged in phonetic alphabet
Length on column direction is preset second length, and first subregion is located at the left side of second subregion；
Second computing module, for calculating separately the third average gray value and described second of the image in first subregion
4th average gray value of the image in subregion；
4th determination module, if being greater than for the deviation amplitude of the third average gray value and the 4th average gray value pre-
If third threshold value, then determine the bank note to be identified for abnormal coin, the third threshold value be positive number.
9. a kind of paper money recognition terminal device, including memory, processor and storage are in the memory and can be described
The computer program run on processor, which is characterized in that the processor realizes such as right when executing the computer program
It is required that the step of Paper Currency Identification described in any one of 1 to 4.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the computer program realizes Paper Currency Identification according to any one of claims 1 to 4 when being executed by processor
Step.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710452202.3A CN107316373B (en) | 2017-06-15 | 2017-06-15 | A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710452202.3A CN107316373B (en) | 2017-06-15 | 2017-06-15 | A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107316373A CN107316373A (en) | 2017-11-03 |
| CN107316373B true CN107316373B (en) | 2019-07-26 |
Family
ID=60183366
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710452202.3A Active CN107316373B (en) | 2017-06-15 | 2017-06-15 | A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107316373B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108198325B (en) * | 2018-01-25 | 2019-10-11 | 深圳怡化电脑股份有限公司 | Technique of composite-RMB bank note detection method, device and storage medium |
| CN108492445A (en) * | 2018-02-06 | 2018-09-04 | 深圳怡化电脑股份有限公司 | The method and device of bank note classification |
| CN111524268B (en) * | 2019-01-16 | 2022-08-30 | 深圳怡化电脑股份有限公司 | Method, device and equipment for detecting paper money adhesive substance |
| CN111489486A (en) * | 2019-01-25 | 2020-08-04 | 深圳怡化电脑股份有限公司 | Method, device and equipment for detecting pasted bills and storage medium |
| CN110473333A (en) * | 2019-07-11 | 2019-11-19 | 深圳怡化电脑股份有限公司 | Detection method, detection device and the terminal of note number |
| CN113538809B (en) * | 2021-06-11 | 2023-08-04 | 深圳怡化电脑科技有限公司 | Data processing method and device based on self-service equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005076230A1 (en) * | 2004-02-05 | 2005-08-18 | Nv Bekaert Sa | Optical system for controlling value documents |
| CN102890840A (en) * | 2012-08-22 | 2013-01-23 | 山东新北洋信息技术股份有限公司 | Method and device for identifying paper money |
| CN104867225A (en) * | 2015-05-15 | 2015-08-26 | 深圳怡化电脑股份有限公司 | Banknote face orientation identification method and apparatus |
| CN105261108A (en) * | 2015-10-15 | 2016-01-20 | 深圳怡化电脑股份有限公司 | Method and system for identifying currency value of RMB banknote |
| CN106683259A (en) * | 2017-03-06 | 2017-05-17 | 深圳怡化电脑股份有限公司 | Method and device for identifying paper money |
-
2017
- 2017-06-15 CN CN201710452202.3A patent/CN107316373B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005076230A1 (en) * | 2004-02-05 | 2005-08-18 | Nv Bekaert Sa | Optical system for controlling value documents |
| CN102890840A (en) * | 2012-08-22 | 2013-01-23 | 山东新北洋信息技术股份有限公司 | Method and device for identifying paper money |
| CN104867225A (en) * | 2015-05-15 | 2015-08-26 | 深圳怡化电脑股份有限公司 | Banknote face orientation identification method and apparatus |
| CN105261108A (en) * | 2015-10-15 | 2016-01-20 | 深圳怡化电脑股份有限公司 | Method and system for identifying currency value of RMB banknote |
| CN106683259A (en) * | 2017-03-06 | 2017-05-17 | 深圳怡化电脑股份有限公司 | Method and device for identifying paper money |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107316373A (en) | 2017-11-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107316373B (en) | A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing | |
| EP3905102A1 (en) | Method and device for determining operation based on facial expression groups, and electronic device | |
| SA518400454B1 (en) | Banknote Management Method and System Thereof | |
| CN107331026A (en) | A kind of Paper Currency Identification and device | |
| CN104636730B (en) | The method and apparatus of face verification | |
| CN102800148A (en) | RMB sequence number identification method | |
| CN104916029A (en) | Paper money verification system and paper money verification method based on system | |
| CN105574981A (en) | RMB banknote denomination identification method based on safety line magnetic information | |
| CN104376249A (en) | Automatic teller system and processing method based on three-dimensional face recognition | |
| CN104658097A (en) | RMB paper currency denomination identification method based on histogram matching of images | |
| CN108230536A (en) | One kind is to light variable security index identification method and device | |
| CN107742359B (en) | banknote identification method and device, terminal equipment and readable storage medium | |
| CN107578526B (en) | Banknote identification method and device, terminal equipment and readable storage medium | |
| CN107492187B (en) | A kind of recognition methods, device, terminal device and storage medium splicing paper money | |
| CN107369242B (en) | A kind of Paper Currency Identification, device, terminal device and readable storage medium storing program for executing | |
| CN107527422B (en) | A kind of offset printing is to print detection method, device, terminal device and readable storage medium storing program for executing | |
| CN103646458B (en) | The method of the principal component analysis identification note true and false | |
| Pallavi et al. | Fake currency detection | |
| CN205644755U (en) | Be used for currency identification to gather location and high in clouds discernment early warning network system | |
| Sumalatha et al. | Identification of Fake Indian Currency using Convolutional Neural Network | |
| CN107358717A (en) | A kind of Paper Currency Identification, system and its terminal device | |
| CN103839322B (en) | Intelligent card, verification data output method, operation request response method and system | |
| CN107481394B (en) | Recognition methods, identification device and the terminal device of bank note | |
| CN107578528B (en) | A kind of recognition methods of bank note, device, terminal device and storage medium | |
| CN111292464B (en) | Online evaluation system for cash machines and gold labels |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |