CN107705417A - Recognition methods, device, finance device and the storage medium of bank note version - Google Patents
Recognition methods, device, finance device and the storage medium of bank note version Download PDFInfo
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- CN107705417A CN107705417A CN201710935233.4A CN201710935233A CN107705417A CN 107705417 A CN107705417 A CN 107705417A CN 201710935233 A CN201710935233 A CN 201710935233A CN 107705417 A CN107705417 A CN 107705417A
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- 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
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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Abstract
The embodiment of the invention discloses a kind of recognition methods, device, finance device and the storage medium of bank note version.This method includes：Obtain bank note to be identified it is default towards gray level image, wherein, it is described default towards the year information that version is corresponded to including the bank note to be identified；Intercepting the gray level image includes the time region of the year information；Extract the character feature for the year information that the time region includes；The character feature is classified by grader, identifies specific year information, to obtain the version information of the bank note to be identified.The embodiment of the present invention obtains version information by then passing through to year information Classification and Identification, so as to improve the accuracy of bank note version identification.
Description
Technical field
The present embodiments relate to paper money recognition technology, more particularly to a kind of recognition methods of bank note version, device, finance
Equipment and storage medium.
Background technology
With expanding economy, the circulation of bank note is increasing, and the bank note for having multiple versions simultaneously is circulating.
Bank note version identification be bank note automatic identification judge basis, because if bank note version identify mistake, will result directly in behind
The flase drop of all recognizers of bank note.
In the prior art, having different spies in some region generally by different editions is identified to the version of bank note
Sign, so as to extract this feature to be identified, but with the abrasion of bank note, the bank note of different editions that can cause to extract
Characteristic difference is little, so as to cause to identify mistake.
The content of the invention
In view of this, the embodiment of the present invention provides a kind of recognition methods of bank note version, device, finance device and storage and is situated between
Matter, to improve the accuracy of bank note version identification.
In a first aspect, the embodiments of the invention provide a kind of recognition methods of bank note version, methods described includes：
Obtain bank note to be identified it is default towards gray level image, wherein, it is described default towards including the paper to be identified
Coin corresponds to the year information of version；
Intercepting the gray level image includes the time region of the year information；
Extract the character feature for the year information that the time region includes；
The character feature is classified by grader, identifies specific year information, it is described to be identified to obtain
The version information of bank note.
Second aspect, the embodiment of the present invention additionally provide a kind of identification device of bank note version, and described device includes：
Image collection module, for obtain bank note to be identified it is default towards gray level image, wherein, it is described it is default towards
The year information of version is corresponded to including the bank note to be identified；
Time region interception module, include the time region of the year information for intercepting the gray level image；
Character feature extraction module, the character feature of the year information included for extracting the time region；
Version identification module, for classifying by grader to the character feature, specific year information is identified,
To obtain the version information of the bank note to be identified.
The third aspect, the embodiment of the present invention additionally provide a kind of finance device, and the finance device includes：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processing
Device realizes the recognition methods of the bank note version described in any embodiment of the present invention.
Fourth aspect, the embodiment of the present invention additionally provide a kind of computer-readable storage medium, are stored thereon with computer program,
The program realizes the recognition methods of the bank note version described in any embodiment of the present invention when being executed by processor.
The technical scheme of the embodiment of the present invention, by obtain bank note to be identified it is default towards gray level image, interception ash
Degree image includes the time region of year information, extracts character feature therein, and enter by grader how many character feature
Row classification, identifies specific year information, obtains the version information of bank note to be identified, is known by then passing through to classify to year information
Not, and then version information is obtained, so as to improve the accuracy of bank note version identification.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the recognition methods for bank note version that the embodiment of the present invention one provides；
Fig. 2 is the exemplary plot of Cuba's coin in the recognition methods of bank note version provided in an embodiment of the present invention；
Fig. 3 is a kind of flow chart of the recognition methods for bank note version that the embodiment of the present invention two provides；
Fig. 4 is a kind of structural representation of the identification device for bank note version that the embodiment of the present invention three provides；
Fig. 5 is a kind of structural representation for finance device that the embodiment of the present invention four provides.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention, rather than limitation of the invention.It also should be noted that in order to just
Part related to the present invention rather than full content are illustrate only in description, accompanying drawing.
Embodiment one
Fig. 1 is a kind of flow chart of the recognition methods for bank note version that the embodiment of the present invention one provides, and the present embodiment can fit
For the situation that the version of bank note is identified, this method can be performed by the identification device of bank note version, and the device can
Realized in a manner of by software and/or hardware, can typically be integrated in ATM (Automated Teller Machine, automatic cabinet
Member's machine) or the finance device such as paper money counter in, this method specifically comprises the following steps：
Step 110, obtain bank note to be identified it is default towards gray level image, wherein, it is described default towards including described
Bank note to be identified corresponds to the year information of version.
Wherein, bank note typically have 4 towards, including：Positive positive, front is reversely, reverse side is positive and reverse side is reverse.Often
It is personal to bank note towards definition mode may be different, bank note can typically include to the one side of the year information of correspondence version
It is defined as front.
The embodiment of the present invention is to correspond to the year information of version by bank note to be identified to identify the version of bank note, therefore,
Need to include the year information in the gray level image of the bank note to be identified obtained, in known year information preset in
When, need to only obtain bank note to be identified it is default towards gray level image.Wherein, it is described default towards for positive forward direction or just
Face is reverse.The bank note to be identified can be any bank note, preferably Cuba's coin.
Step 120, intercepting the gray level image includes the time region of the year information.
According to the Information of the gray level image got, intercepting the gray level image with corresponding preset range includes
The time region of the year information.The year information can be carried out in scope positive positive or that front is reverse in advance
Obtain, can rule of thumb obtain, the scope got is the preset range.
, can also be positive for front by the reverse greyscale image transitions in front in addition to that above-mentioned interception way, then
Time region therein is intercepted according to preset range corresponding to positive forward direction.It so can only retain a kind of preset range, save
Memory space.
Wherein, the image of the preset range is the region for including the year information, and each edge and the year
The edge of part information will have a certain distance, to ensure subsequently can accurately get year information.
Fig. 2 is the exemplary plot of Cuba's coin in the recognition methods of bank note version provided in an embodiment of the present invention, such as Fig. 2 institutes
Show, region 1 and region 2 include year information (2012), because year information differs with the gray value of peripheral region in region 2
Less, the border of year information can not be accurately determined, so as to can not accurately extract year information, therefore, when specifically identifying, is cut
Region 1 is taken as time region.
Step 130, the character feature for the year information that the time region includes is extracted.
Can be by image characteristics extraction, to extract the character for the year information that the time region includes spy
Sign, the region of each character composition may be considered a continuous region.Wherein, image characteristics extraction be computer vision and
A concept in image procossing, refer to, using computer extraction image information, determine whether the point of each image belongs to one
Characteristics of image.The result of feature extraction is that the point on image is divided into different subsets, these subsets tend to belong to isolated point,
Continuous curve or continuous region.
Foreground information therein can also be extracted by distinguishing foreground and background, and then extract time region to include
Year information character feature.
Step 140, the character feature is classified by grader, specific year information is identified, to obtain
State the version information of bank note to be identified.
Wherein, grader is the general designation for the method classified in data mining to sample, is returned comprising decision tree, logic
Return, naive Bayesian, neutral net scheduling algorithm.Classification is a kind of very important method of data mining, and the concept of classification is
Learn a classification function on the basis of data with existing or construct a disaggregated model, that is, grader.The function or
Model can be mapped to the data recording in database some in given classification, so as to applied to data prediction.
Wherein, the grader is preferably SVM (Support Vector Machine, SVMs) grader, SVM be one by
The identification and classification device that Optimal Separating Hyperplane defines, that is, give the training sample of one group of tape label, algorithm will export one it is optimal super
Plane is classified to new samples (test sample), and the optimal hyperlane is to will be most with a distance from the training sample nearest from it
Greatly.I.e. optimum segmentation hyperplane maximizes training sample border, eliminates the interference of noise, ensures the accuracy of identification.
The character feature is classified by using grader, specific numeral is identified, obtains the specific time
Information, according to year information and the corresponding relation of bank note version, obtain bank note version information.
The technical scheme of the present embodiment, by obtain bank note to be identified it is default towards gray level image, intercept gray-scale map
Time region as including year information, extracts character feature therein, and divided by grader how many character feature
Class, specific year information is identified, obtain the version information of bank note to be identified, by then passing through to year information Classification and Identification,
And then version information is obtained, so as to improve the accuracy of bank note version identification.
Embodiment two
Fig. 3 is a kind of flow chart of the recognition methods for bank note version that the embodiment of the present invention two provides, and the present embodiment is upper
On the basis of stating embodiment, " character feature for extracting the year information that the time region includes " is carried out excellent
Change, this method specifically comprises the following steps：
Step 210, obtain bank note to be identified it is default towards gray level image, wherein, it is described default towards including described
Bank note to be identified corresponds to the year information of version.
Step 220, intercepting the gray level image includes the time region of the year information.
Step 230, the border of year information described in the time region is determined.
Wherein, the border of the year information is exactly the digital border of the expression of years.
Can be by the border of the year information and the difference of peripheral region, to determine the border of year information.
Wherein it is determined that the border of year information described in the time region, it is optional including：
Enter every trade projection to the time region, determine the first border of year information described in the time region, and
According to preset height information, the second boundary of the year information is determined, the second boundary is corresponding with first border；
Enter ranks projection to the time region, determine the 3rd border of year information described in the time region, and
According to predetermined width information, the 4th border of the year information is determined, the 4th border is corresponding with the 3rd border.
Wherein, row projection is to calculate the sum of the gray value in image per a line pixel, and row projection is every in calculating image
The sum of the gray value of one row pixel.
Projected by entering every trade to the time region, determine that year information is in the row side described in the time region
The first border in, and according to the preset height information of corresponding resolution image, determine in year information with the first border pair
The second boundary answered.Projected by entering ranks to the time region, determine that year information is in institute described in the time region
State the 3rd border in column direction, and according to the predetermined width information of corresponding resolution image, determine in year information with the 3rd
4th border corresponding to border.Projected by ranks and obtain border, had substantially suitable for the region and peripheral region of year information
The image of pixel differences, it so can accurately determine the border of year information.When projection of being expert at determines row bound, by comparing phase
The row projection of adjacent two rows, when the row projection of adjacent rows differs by more than default row threshold value, according to bank note towards determining wherein
One action borders；When row project and determine to arrange border, projected by the row of more adjacent two row, when the row of adjacent two row project phase
When difference is more than default row threshold value, border is classified as towards determination wherein one according to bank note.
It is exemplary, as shown in Fig. 2 the picture in the region more than coboundary of year information in region 1 and year information
Significant difference is known as, the coboundary of year information can be got by row projection, it is specifically more adjacent successively from top to bottom
The row projection of two rows, when the difference between the row projection of adjacent rows is more than default row threshold value, determine following behavior time letter
The coboundary of breath, further according to preset height information, it is accurately obtained corresponding lower boundary；The right of year information in region 1
The pixel on boundary and the region on the right side of year information has significant difference, and the right margin of year information can be got by arranging projection,
Specifically from the right more adjacent two row projection arranged successively of turning left, the difference between the row of adjacent two row project is more than default row threshold
During value, it is determined that left side one is classified as the right margin of year information, further according to predetermined width information, the corresponding left side is accurately obtained
Boundary.
Step 240, according to the border, the character zone where the year information in the time region is extracted.
According to the border of the year information of determination, the region where year information therein, i.e. character zone are extracted,
I.e. by carrying out edge extracting to character zone, character zone is directly intercepted.
Step 250, by carrying out Image Coding to the character zone, the character feature in the character zone is extracted.
Wherein, Image Coding is also referred to as compression of images, refers to meeting the certain mass (requirement or subjective assessment of signal to noise ratio
Score) under conditions of, the technology of information included in image or image is represented with less bit.
By carrying out Image Coding to the character zone, the character feature in the character zone is protruded, and then extract
The character feature.
Wherein, by the character zone carry out Image Coding, it is optional including：
Image Coding is carried out to the character zone using Huffman encoding.
Wherein, Huffman encoding (Huffman Coding), also known as huffman coding, are a kind of coded systems, Huffman
Coding is one kind of variable word length coding.It is a kind of coding method that Huffman proposes in nineteen fifty-two, this method is completely according to word
Probability of occurrence is accorded with to construct the most short code word of the average length of different prefix, sometimes referred to as forced coding.Using Huffman encoding
The basic ideas for carrying out Image Coding are scan image datas first, calculate the probability that various pixels occur, big according to probability
The code word of small specified different length, thus obtains a Huffman code table, and the Imagery Data Recording after coding is each pixel
Code word, and the corresponding relation of code word and actual pixel value is recorded in code table, and code table needs to be attached in image file.
In the embodiment of the present invention, when carrying out Huffman encoding, each pixel in the character zone is scanned first
Gray value, the probability that each gray value occurs is calculated, the code word of different length is specified according to probability size, so as to obtain one
Huffman code table, complete coding.The relation of gray value and probability in code table, determines the character in character zone, and carry
Take out character feature therein.
Step 260, the character feature is classified by grader, specific year information is identified, to obtain
State the version information of bank note to be identified.
The technical scheme of the present embodiment, on the basis of above-described embodiment, when extracting character feature, by determining the time
The border of year information in region, and according to the character zone where Boundary Extraction year information, by entering to character zone
Row Image Coding, the character feature in character zone is extracted, is accurately extracted character zone and character feature therein, Ke Yijin
One step improves the accuracy of bank note version identification.
On the basis of above-mentioned technical proposal, before ranks projection is entered to the time region, further preferably include：
Binary conversion treatment is carried out to the time region.
Wherein, carrying out the algorithm of binary conversion treatment has a lot, for example calculates the average of pixel in time region, and will be each
The gray value of individual pixel is 255 or 0 more than indirect assignment compared with the average, is 0 or 255 less than indirect assignment,
Other Binarization methods can also be used.The embodiment of the present invention is preferably using OTSU (maximum variance between clusters) algorithm come to year
Part region carries out binary conversion treatment.OTSU algorithms are to be proposed by the big Tianjin of Japanese scholars in 1979, are a kind of adaptive thresholds
It is worth the method determined, is called Da-Jin algorithm, it is the gamma characteristic by image, divides the image into background and the part of target 2.Background and
Inter-class variance between target is bigger, illustrates that the difference of 2 parts of pie graph picture is bigger, when partial target mistake is divided into background or portion
Point background mistake, which is divided into target, can all cause 2 part difference to diminish.Therefore, the segmentation for making inter-class variance maximum means misclassification probability
It is minimum.The degree of accuracy of binary conversion treatment can be improved by carrying out binary conversion treatment by using OTSU algorithms.
By carrying out binary conversion treatment to time region, it is possible to reduce follow-up amount of calculation, and can more protrude it
In character feature, carry out being advantageous to the determination on character zone border and the extraction of character.
Embodiment three
Fig. 4 is a kind of structural representation of the identification device for bank note version that the embodiment of the present invention three provides, such as Fig. 4 institutes
Show, the identification device of the bank note version described in the present embodiment includes：Image collection module 310, time region interception module 320,
Character feature extraction module 330 and version identification module 340.
Wherein, image collection module 310, for obtain bank note to be identified it is default towards gray level image, wherein, it is described
Preset towards the year information that version is corresponded to including the bank note to be identified；
Time region interception module 320, include the time region of the year information for intercepting the gray level image；
Character feature extraction module 330, the character of the year information included for extracting the time region are special
Sign；
Version identification module 340, for classifying by grader to the character feature, identify specific time letter
Breath, to obtain the version information of the bank note to be identified.
Optionally, the character feature extraction module includes：
Border determining unit, for determining the border of year information described in the time region；
Character zone extraction unit, for according to the border, extracting the year information institute in the time region
Character zone；
Character feature extraction unit, for by carrying out Image Coding to the character zone, extracting the character zone
In character feature.
Optionally, the border determining unit is specifically used for：
Enter every trade projection to the time region, determine the first border of year information described in the time region, and
According to preset height information, the second boundary of the year information is determined, the second boundary is corresponding with first border；
Enter ranks projection to the time region, determine the 3rd border of year information described in the time region, and
According to predetermined width information, the 4th border of the year information is determined, the 4th border is corresponding with the 3rd border.
Optionally, described device also includes：
Binarization block, for before ranks projection is entered to the time region, two-value to be carried out to the time region
Change is handled.
The character feature extraction unit includes：
Image Coding subelement, for carrying out Image Coding to the character zone using Huffman encoding.
Optionally, the grader is SVM classifier.
The identification device of above-mentioned bank note version can perform the identification side for the bank note version that any embodiment of the present invention is provided
Method, possess the corresponding functional module of execution method and beneficial effect.Not ins and outs of detailed description in the present embodiment, can join
See the recognition methods for the bank note version that any embodiment of the present invention provides.
Example IV
Fig. 5 is a kind of structural representation for finance device that the embodiment of the present invention four provides.Fig. 5 shows real suitable for being used for
The block diagram of the exemplary financial equipment of existing embodiment of the present invention.The finance device 12 that Fig. 5 is shown is only an example, should not
Any restrictions are brought to the function and use range of the embodiment of the present invention.
As shown in figure 5, finance device 12 is showed in the form of universal computing device.The component of finance device 12 can include
But it is not limited to：One or more processor or processing unit 16, system storage 28, connection different system component (including
System storage 28 and processing unit 16) bus 18.
Bus 18 represents the one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.Lift
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, MCA (MAC)
Bus, enhanced isa bus, VESA's (VESA) local bus and periphery component interconnection (PCI) bus.
Finance device 12 typically comprises various computing systems computer-readable recording medium.These media can be it is any can be golden
Melt the usable medium of the access of equipment 12, including volatibility and non-volatile media, moveable and immovable medium.
System storage 28 can include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Finance device 12 may further include other removable/not removable
Dynamic, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for read-write can not
Mobile, non-volatile magnetic media (Fig. 5 is not shown, commonly referred to as " hard disk drive ").Although not shown in Fig. 5, Ke Yiti
For the disc driver for being read and write to may move non-volatile magnetic disk (such as " floppy disk "), and to may move non-volatile light
The CD drive of disk (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver
It can be connected by one or more data media interfaces with bus 18.Memory 28 can include at least one program and produce
Product, the program product have one group of (for example, at least one) program module, and these program modules are configured to perform of the invention each
The function of embodiment.
Program/utility 40 with one group of (at least one) program module 42, such as memory 28 can be stored in
In, such program module 42 include but is not limited to operating system, one or more application program, other program modules and
Routine data, the realization of network environment may be included in each or certain combination in these examples.Program module 42 is usual
Perform the function and/or method in embodiment described in the invention.
Finance device 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.)
Communication, can also enable a user to the equipment communication interacted with the finance device 12 with one or more, and/or with causing the gold
Melt any equipment (such as network interface card, modem etc.) that equipment 12 can be communicated with one or more of the other computing device
Communication.This communication can be carried out by input/output (I/O) interface 22.Also, finance device 12 can also be fitted by network
Orchestration 20 communicates with one or more network (such as LAN (LAN) and/or wide area network (WAN)).As illustrated, network is fitted
Orchestration 20 is communicated by bus 18 with other modules of finance device 12.It should be understood that although not shown in the drawings, gold can be combined
Melt equipment 12 and use other hardware and/or software module, include but is not limited to：Microcode, device driver, redundancy processing are single
Member, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 is stored in program in system storage 28 by operation, so as to perform various function application and
Data processing, such as realize the recognition methods for the bank note version that the embodiment of the present invention is provided.
Embodiment five
The embodiment of the present invention five provides a kind of computer-readable storage medium, is stored thereon with computer program, the program quilt
The recognition methods of the bank note version as described in any embodiment of the present invention is realized during computing device.
The computer-readable recording medium of the embodiment of the present invention, one or more computer-readable media can be used
Any combination.Computer-readable medium can be computer-readable signal media or computer-readable recording medium.Computer
Readable storage medium storing program for executing for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, dress
Put or device, or it is any more than combination.More specifically example (non exhaustive list) bag of computer-readable recording medium
Include：It is electrical connection, portable computer diskette, hard disk, random access memory (RAM) with one or more wires, read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only storage
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, it is computer-readable
Storage medium can be it is any include or the tangible medium of storage program, the program can be commanded execution system, device or
Device use or in connection.
Computer-readable signal media can include in a base band or as carrier wave a part propagation data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium beyond storage medium is read, the computer-readable medium, which can send, propagates or transmit, to be used for
By instruction execution system, device either device use or program in connection.
The program code included on computer-readable medium can be transmitted with any appropriate medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc., or above-mentioned any appropriate combination.
It can be write with one or more programming languages or its combination for performing the computer that operates of the present invention
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Also include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
Fully perform, partly perform on the user computer on the user computer, the software kit independent as one performs, portion
Divide and partly perform or performed completely on remote computer or server on the remote computer on the user computer.
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or
Wide area network (WAN) --- it is connected to subscriber computer.
Pay attention to, above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The invention is not restricted to specific embodiment described here, can carry out for a person skilled in the art various obvious changes,
Readjust and substitute without departing from protection scope of the present invention.Therefore, although being carried out by above example to the present invention
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
Other more equivalent embodiments can be included, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of recognition methods of bank note version, it is characterised in that methods described includes：
Obtain bank note to be identified it is default towards gray level image, wherein, it is described default towards including the bank note pair to be identified
Answer the year information of version；
Intercepting the gray level image includes the time region of the year information；
Extract the character feature for the year information that the time region includes；
The character feature is classified by grader, identifies specific year information, to obtain the bank note to be identified
Version information.
2. according to the method for claim 1, it is characterised in that extract the year information that the time region includes
Character feature include：
Determine the border of year information described in the time region；
According to the border, the character zone where the year information in the time region is extracted；
By carrying out Image Coding to the character zone, the character feature in the character zone is extracted.
3. according to the method for claim 2, it is characterised in that determine the side of year information described in the time region
Boundary, including：
Enter every trade projection to the time region, determine the first border of year information described in the time region, and according to
Preset height information, determines the second boundary of the year information, and the second boundary is corresponding with first border；
Enter ranks projection to the time region, determine the 3rd border of year information described in the time region, and according to
Predetermined width information, determines the 4th border of the year information, and the 4th border is corresponding with the 3rd border.
4. according to the method for claim 3, it is characterised in that before ranks projection is entered to the time region, also wrap
Include：
Binary conversion treatment is carried out to the time region.
5. according to the method for claim 2, it is characterised in that Image Coding is carried out to the character zone, including：
Image Coding is carried out to the character zone using Huffman encoding.
6. according to the method for claim 1, it is characterised in that the grader is SVM classifier.
7. a kind of identification device of bank note version, it is characterised in that described device includes：
Image collection module, for obtain bank note to be identified it is default towards gray level image, wherein, it is described it is default towards including
The bank note to be identified corresponds to the year information of version；
Time region interception module, include the time region of the year information for intercepting the gray level image；
Character feature extraction module, the character feature of the year information included for extracting the time region；
Version identification module, for classifying by grader to the character feature, specific year information is identified, with
To the version information of the bank note to be identified.
8. device according to claim 7, it is characterised in that the character feature extraction module includes：
Border determining unit, for determining the border of year information described in the time region；
Character zone extraction unit, for where according to the border, extracting the year information in the time region
Character zone；
Character feature extraction unit, for by carrying out Image Coding to the character zone, extracting in the character zone
Character feature.
9. a kind of finance device, it is characterised in that the finance device includes：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processors are real
The now recognition methods of the bank note version as described in any in claim 1-6.
10. a kind of computer-readable storage medium, is stored thereon with computer program, it is characterised in that the program is executed by processor
The recognition methods of bank note versions of the Shi Shixian as described in any in claim 1-6.
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| CN201710935233.4A CN107705417A (en) | 2017-10-10 | 2017-10-10 | Recognition methods, device, finance device and the storage medium of bank note version |
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| CN201710935233.4A CN107705417A (en) | 2017-10-10 | 2017-10-10 | Recognition methods, device, finance device and the storage medium of bank note version |
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