CN106558143B - It is a kind of 100 yuans splicing bank note recognition methods and device - Google Patents
It is a kind of 100 yuans splicing bank note recognition methods and device Download PDFInfo
- Publication number
- CN106558143B CN106558143B CN201510600761.5A CN201510600761A CN106558143B CN 106558143 B CN106558143 B CN 106558143B CN 201510600761 A CN201510600761 A CN 201510600761A CN 106558143 B CN106558143 B CN 106558143B
- Authority
- CN
- China
- Prior art keywords
- column position
- bank note
- column
- boundary
- grayscale image
- 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
Landscapes
- Image Analysis (AREA)
Abstract
The embodiment of the invention discloses a kind of recognition methods of 100 yuans of splicings bank note and devices, wherein, the described method includes: obtaining the grayscale image of bank note front preset position area, the preset position area is rectangular area, the left side edge part including bank note part watermark region and the closest watermark region number 1；The boundary column position of watermark region and image-region in the grayscale image is determined according to the pixel grey scale feature of the grayscale image；Described digital 1 first edge column position is determined according to the pixel grey scale feature of the boundary column position and the grayscale image of the bank note watermark region and image-region；Determine whether the bank note is splicing bank note according to the distance difference of the boundary column position and the first edge column position.It can effectively identify 100 yuans of splicing bank note.And recognition speed faster, recognition effect stablize.
Description
Technical field
The present invention relates to recognition methods and the dresses in paper currency detection field, more particularly to a kind of 100 yuans of splicings bank note
It sets.
Background technique
In recent years, there is the phenomenon that splicing bank note circulates in the market.The splicing bank note refers to bank note just
Face or the back side are opened, and the means such as cut, piece together, alter using cutting come counterfeit note.Currently, relatively common " splicing bank note " is main
There are two types of: half genuine note and half counterfeit money are pieced together one is a genuine note is divided into two, while by viscous mend；Separately
One is cutting to low-denomination genuine note, the viscous benefit of tenebrescent number cut on genuine note will be dug in the identical of big counterfeit money
On position, filled very with puppet.
It is more difficult to the identification of splicing bank note in existing forge or true or paper money recognition methods.Especially with by low-denomination
The tenebrescent numerical portion of genuine note is spliced to the splicing bank note of big counterfeit money joining method, since its photochromatic printing ink etc. is anti-fake
Feature is subsidized by genuine note, and the existing recognition methods based on above-mentioned anti-counterfeiting characteristic can not recognize its true and false.
Summary of the invention
In view of this, the embodiment of the present invention proposes the recognition methods and device of 100 yuans of splicing bank note of one kind, with reality
Now 100 yuans are spliced with effective identification of bank note.
In a first aspect, the embodiment of the invention provides a kind of recognition methods of 100 yuans of splicings bank note, the method
Include:
The grayscale image of bank note front preset position area is obtained, the preset position area is rectangular area, including described
The left side edge part of bank note part watermark region and the closest watermark region number 1；
The boundary of watermark region and image-region in the grayscale image is determined according to the pixel grey scale feature of the grayscale image
Column position；
According to the pixel grey scale feature of the boundary column position and the grayscale image of the bank note watermark region and image-region
Determine described digital 1 first edge column position；
Determine whether the bank note is spelling according to the distance difference of the boundary column position and the first edge column position
Splicing coin.
Second aspect, the embodiment of the invention provides a kind of identification device of 100 yuans of splicings bank note, described devices
Include:
Grayscale image obtains module, for obtaining the grayscale image of bank note front preset position area, the preset position area
For rectangular area, the left side edge part including bank note part watermark region and the closest watermark region number 1；
Boundary column position determining module, for determining water in the grayscale image according to the pixel grey scale feature of the grayscale image
Print the boundary column position in region and image-region；
First edge column position determining module, for the boundary column position according to the bank note watermark region and image-region
Described digital 1 first edge column position is determined with the pixel grey scale feature of the grayscale image；
Splice bank note determining module, for the distance difference according to the boundary column position and the first edge column position
Determine whether the bank note is splicing bank note.
100 yuans of recognition methods for splicing bank note and device, can pass through acquisition provided by the embodiment of the present invention
Numeric area, the gray scale of watermark region and photochromatic printing ink number 1 in the fritter preset position area that bank note direct picture is cut
Value tag effectively identifies 100 yuans of splicing bank note.And recognition speed faster, recognition effect stablize.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, of the invention other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that first embodiment of the invention provides；
Fig. 2 is predeterminated position area in the recognition methods for 100 yuans of splicing bank note that first embodiment of the invention provides
The grayscale image in domain；
Fig. 3 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that second embodiment of the invention provides；
Fig. 4 is that grayscale image column are thrown in the recognition methods for 100 yuans of splicing bank note that second embodiment of the invention provides
The histogram of shadow；
Fig. 5 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that third embodiment of the invention provides；
Fig. 6 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that fourth embodiment of the invention provides；
Fig. 7 is the structural schematic diagram of the identification device for 100 yuans of splicing bank note that fifth embodiment of the invention provides.
Specific 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
State that the specific embodiments are only for explaining the present invention, rather than limitation of the invention.It also should be noted that for the ease of
Description, only some but not all contents related to the present invention are shown in the drawings.
Fig. 1 shows the first embodiment of the present invention.
Fig. 1 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that first embodiment of the invention provides,
The identification device that the method for the present embodiment can splice bank note by 100 yuans execute, the device can by hardware and/or
The mode of software is realized, and generally can integrate in the storage one ATM (Automatic that can roll output
Teller Machine, ATM) in terminal.
Referring to Fig. 1, the recognition methods of 100 yuans of splicings bank note, comprising:
Step S101 obtains the grayscale image of bank note front preset position area, and the preset position area is rectangular area,
Left side edge part including bank note part watermark region and the closest watermark region number 1.
Currently, criminal cuts the genuine note of bottom surface value, therefrom stripping, then 100 yuan of denominations weights with vacation
New splicing forms the RMB splicing coin of 100 yuan of face amounts, obtains gravy.Since criminal needs using bottom surface value
Genuine note numerical portion is covered imitated photochromatic printing ink numerical portion is not easy on counterfeit money, so, the spelling of the overwhelming majority at present
Splicing coin is pieced together near number 1 using the cutting item of genuine note in bank note direct picture part.Using this feature,
Can identify whether bank note is splicing bank note.
The devices such as the image acquiring device, such as camera in the integrated ATM of storage by that can roll output obtain
Get the direct picture of 100 yuans of bank note to be identified, and according to preset position interception image, and the figure that will be truncated to
As switching to grayscale image.Acquired direct picture first can also be switched into grayscale image, then be intercepted according to preset position corresponding
The grayscale image of position.Fig. 2 is the grayscale image of a preset position area in the present embodiment.As seen from Figure 2, described default
Region is rectangle, can be complete including bank note part watermark region and closest to the left side edge part of the watermark region number 1
Digital 1 left side edge of whole embodiment and the boundary of watermark region and image-region.
By taking the preset position in Fig. 2 as an example, at lateral 200DPI, the resolution ratio of longitudinal 150DPI, preset region
In two apex coordinates be (260,120), (360,220).The height of the preset position area rectangle, which can choose, slightly above to be counted
The height of slightly above number 1 can be reduced preset position area as the height of preset position area rectangle by the height of word 1
Area reduces corresponding calculation amount, while can also preferably embody the grey value characteristics of digital 1 marginal portion, can be more preferable
100 yuans of splicing bank note of identification.
Step S102 determines watermark region and image district in the grayscale image according to the pixel grey scale feature of the grayscale image
The boundary column position in domain.
There is apparent difference, the i.e. friendships of watermark region and image-region for the gray scale and image-region gray scale of watermark region
Gray value at left and right sides of boundary has biggish difference very much.Watermark region gray value is higher, and image-region is relative to watermark region
Gray value it is lower, using this characteristic, can determine the boundary column position of watermark region and image-region in grayscale image.
Step S103, according to the pixel of the boundary column position and the grayscale image of the bank note watermark region and image-region
Gray feature determines described digital 1 first edge column position.
As seen from Figure 2, described digital 1 first edge column position is vertical longest marginal position in number 1, by
It is that photochromatic printing ink is generated in number 1, there is certain differences for gray value and digital 1 surrounding banknote image part gray value
It is different.And the column with above-mentioned obvious gray feature should most be connect with the boundary column position of bank note watermark region and image-region
Close.Using above-mentioned characteristic, available digital 1 first edge column position.
Step S104 determines the bank note according to the distance difference of the boundary column position and the first edge column position
It whether is splicing bank note.
Since RMB is printed using same version, so watermark areas in genuine 100 yuans of image
The distance between the first edge column position of number 1 is one fixed in the boundary column position of domain and image-region and image-region
Value.Carry out boundary column position acquired in above-mentioned steps and first edge column position to subtract operation, get boundary column position with
Distance difference is compared by the distance difference of the first edge column position with fixed value.Distance difference and fixed value not
When consistent, 100 yuans to be identified are splicing bank note, and otherwise, 100 yuans to be identified are genuine notes.
The present embodiment can be by obtaining numeric area, water in the fritter preset position area that bank note direct picture is cut
The grey value characteristics in region and photochromatic printing ink number 1 are printed, effectively identify 100 yuans of splicing bank note.And recognition speed faster,
Recognition effect is stablized.
In the another alternative of the present embodiment, since determining boundary column position and first edge column position may
There is an error, the not phase of the fixed value in institute's calculated distance difference and genuine note between boundary column position and first edge column position
Unanimously.It will appear the situation of identification mistake.Therefore, a threshold range, the threshold value model can be set according to the fixed value
Enclosing can be by empirically determined.It is greater than in the absolute value of the boundary column position and the distance difference of the first edge column position default
Distance threshold range when, determine the bank note for splicing bank note.
Fig. 3 shows the second embodiment of the present invention.
Fig. 3 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that second embodiment of the invention provides.
The recognition methods of 100 yuans of splicings bank note, further, will be according to described based on first embodiment of the invention
The pixel grey scale feature of grayscale image determines the boundary column position of watermark region and image-region in the grayscale image, specific to optimize
Are as follows: obtain all column projections in grayscale image；The column position of adjacent column projection maximum difference is obtained, and using the column position as friendship
Boundary's column position.
Referring to Fig. 3, the recognition methods of 100 yuans of splicings bank note, comprising:
Step S201 obtains the grayscale image of bank note front preset position area, and the preset position area is rectangular area,
Left side edge part including bank note part watermark region and the closest watermark region number 1.
Step S202 obtains all column projections in grayscale image.
The column are projected as the sum of the gray value of all pixels of pixel longitudinal edge position coordinates column.By institute
The gray value summation for stating all pixels point in grayscale image in the column at the place of all longitudinal edge position coordinates, gets gray scale
All column projection in figure.
Step S203 obtains the column position of adjacent column projection maximum difference, and using the column position as boundary column position.
There is apparent difference, the i.e. friendships of watermark region and image-region for the gray scale and image-region gray scale of watermark region
Gray value at left and right sides of boundary has biggish difference very much.Watermark region gray value is higher, and the gray value of image-region relative to
Watermark region is lower, maximum in the boundary gray value difference of watermark region and image-region.Fig. 4 is that grayscale image arranges in the present embodiment
The histogram of projection, the intersection of the big oval place in left side as watermark region and image-region in figure.It is obtained by step S202
The column projection taken, can obtain the column position of adjacent column projection maximum difference, i.e. the boundary column position of watermark region and image-region
It sets.
Step S204, according to the pixel of the boundary column position and the grayscale image of the bank note watermark region and image-region
Gray feature determines described digital 1 first edge column position.
Step S205 determines the bank note according to the distance difference of the boundary column position and the first edge column position
It whether is splicing bank note.
The present embodiment by by according to the pixel grey scale feature of the grayscale image determine in the grayscale image watermark region with
The boundary column position of image-region, it is specific to optimize are as follows: to obtain all column projections in grayscale image；It obtains adjacent column and projects maximum difference
Column position, and using the column position as boundary column position.The difference that can be projected by the adjacent column in grayscale image changes
Accurately determine boundary column position.
Fig. 5 shows the third embodiment of the present invention.
Fig. 5 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that third embodiment of the invention provides.
The recognition methods of 100 yuans of splicings bank note, further, will be according to described based on first embodiment of the invention
The pixel grey scale feature of grayscale image determines the boundary column position of watermark region and image-region in the grayscale image, specific to optimize
Are as follows: all column projections in grayscale image are obtained, the length of all column Projecteds is calculated, obtains the column where the length of greatest gradient
Position, and using the column position at the place as boundary column position.
Referring to Fig. 5, the recognition methods of 100 yuans of splicings bank note, comprising:
Step S301 obtains the grayscale image of bank note front preset position area, and the preset position area is rectangular area,
Left side edge part including bank note part watermark region and the closest watermark region number 1.
Step S302 obtains all column projections in grayscale image.
Step S303 calculates the length of all column Projecteds, obtains the column position where the length of greatest gradient, and will
The column position at the place is as boundary column position.
As seen from Figure 4, the column projection in the boundary position of the watermarking section of bank note and image section sharply becomes smaller.Institute
The length for the gradient stated is the change rate of the physical parameter, is in the present embodiment the change rate of column projection.Due to watermark portion
Divide and the boundary position of image section is unexpected compared with surrounding watermarking section region and image section area pixel gray value
Biggish variation is generated, so the length in the gradient of the boundary position of watermarking section and image section projection is maximum.Pass through column
The length of Projected, the column position where the length of available greatest gradient, and using the column position as watermarking section
With the boundary position of image section.
Step S304, according to the pixel of the boundary column position and the grayscale image of the bank note watermark region and image-region
Gray feature determines described digital 1 first edge column position.
Step S305 determines the bank note according to the distance difference of the boundary column position and the first edge column position
It whether is splicing bank note.
The present embodiment by by according to the pixel grey scale feature of the grayscale image determine in the grayscale image watermark region with
The boundary column position of image-region, it is specific to optimize are as follows: to obtain all column projections in grayscale image, calculate the length of all column Projecteds
Degree, obtains the column position where the length of greatest gradient, and using the column position at the place as boundary column position.It being capable of basis
The change rate that projection is arranged in grayscale image accurately determines boundary column position, and required operation is less, can further reduce identification
Duration.
Fig. 6 shows the fourth embodiment of the present invention.
Fig. 6 is the flow diagram of the recognition methods for 100 yuans of splicing bank note that fourth embodiment of the invention provides.
The recognition methods of 100 yuans of splicings bank note, further, will be according to described based on first embodiment of the invention
The pixel grey scale feature of grayscale image determines the boundary column position of watermark region and image-region in the grayscale image, specific to optimize
Are as follows: obtain all column projections in grayscale image；The difference of adjacent column projection is calculated, and by the difference and preset gray scale difference value threshold
Value is compared, and obtains difference column projection of the difference greater than preset gray scale difference value threshold value；It will described and boundary column position
The column position of nearest difference column projection is as first edge column position.
Referring to Fig. 6, the recognition methods of 100 yuans of splicings bank note, comprising:
Step S401 obtains the grayscale image of bank note front preset position area, and the preset position area is rectangular area,
Left side edge part including bank note part watermark region and the closest watermark region number 1.
Step S402 determines watermark region and image district in the grayscale image according to the pixel grey scale feature of the grayscale image
The boundary column position in domain.
Step S403 obtains all column projections in grayscale image.
Step S404, calculates the difference of adjacent column projection, and the difference and preset gray scale difference value threshold value are compared
Compared with the difference column for obtaining the difference greater than preset gray scale difference value threshold value project.
Number 1 uses photochromatic printing ink technology print in image-region in bank note.As seen from Figure 4, small ellipse is in Fig. 4
For the left side edge position of number 1.After switching to grayscale image, the gray scale of number 1 and the banknote image part gray scale of surrounding have one
Fixed difference.But it is smaller than the gray difference of watermark region and the boundary of image-region with the gray difference of banknote image, it utilizes
This gray feature can determine the edge column position of number.Due to the gray value of numerical portion and the ash of surrounding image segments
Angle value in a certain range, by calculating the difference of adjacent column projection, by the difference and preset gray scale difference value threshold value into
Row compares, and the difference is greater than the column projected position of preset gray scale difference value threshold value as the column projected position of digital edge.
Step S405, using the column position of the difference column projection nearest with boundary column position as first edge column position
It sets.
Since bank note front preset position area may include multiple numbers in image-region, the obtained difference of step S404
Value column projection can have multiple, the left side edge and boundary column position of number 1 it can be seen from the grayscale image of preset position area
Distance recently, can determine the left side edge position of number 1, i.e. first edge according to the obtained boundary column position of step S402
Column position.
The present embodiment by by according to the pixel grey scale feature of the grayscale image determine in the grayscale image watermark region with
The boundary column position of image-region, it is specific to optimize are as follows: to obtain all column projections in grayscale image；The difference of adjacent column projection is calculated,
And be compared the difference with preset gray scale difference value threshold value, the difference is obtained greater than preset gray scale difference value threshold value
Difference column projection；Using the column position of the difference column projection nearest with boundary column position as first edge column position.It can
The left side edge position of number 1 is accurately determined by the difference that boundary column position and adjacent column project, and then improves splicing paper
The recognition accuracy of coin.
Fig. 7 shows sixth embodiment of the invention.
Fig. 7 is the structural schematic diagram of the identification device for 100 yuans of splicing bank note that sixth embodiment of the invention provides.
As seen from Figure 7, the identification device of described 100 yuans splicing bank note includes: that grayscale image obtains module
510, boundary column position determining module 520, first edge column position determining module 530 and splicing bank note determining module 540.
Wherein, the grayscale image obtains module 510, described for obtaining the grayscale image of bank note front preset position area
Preset position area is rectangular area, the left side including bank note part watermark region and the closest watermark region number 1
Lateral edge portions；
The boundary column position determining module 520, for determining the ash according to the pixel grey scale feature of the grayscale image
Spend the boundary column position of watermark region and image-region in figure；
The first edge column position determining module 530, for the friendship according to the bank note watermark region and image-region
The pixel grey scale feature of boundary's column position and the grayscale image determines the digital 1 first edge column position；
The splicing bank note determining module 540, for according to the boundary column position and the first edge column position
Distance difference determines whether the bank note is splicing bank note.
The embodiment of the present invention is by obtaining numeric area, water in the fritter preset position area that bank note direct picture is cut
The grey value characteristics in region and photochromatic printing ink number 1 are printed, effectively identify 100 yuans of splicing bank note.And recognition speed faster,
Recognition effect is stablized.
Further, the boundary column position determining module 520, comprising: first row projects acquiring unit 521 and first and hands over
Boundary's column position acquiring unit 522.
Wherein, the first row projects acquiring unit 521, for obtaining all column projections in grayscale image；
The first boundary column position acquiring unit 522 obtains adjacent column projection for the size of more all column projections
The column position of maximum difference, and using the column position as boundary column position.
Further, the boundary column position determining module 520, comprising: secondary series projection acquiring unit 523 and the
Two boundary column position acquiring units 524.
Wherein, the secondary series projects acquiring unit 523, for obtaining all column projections in grayscale image；
The second boundary column position acquiring unit 524 obtains maximum ladder for calculating the length of all column Projecteds
Column position where the length of degree, and using the column position at the place as boundary column position.
Further, first edge column position determining module 530, comprising: third column projection acquiring unit 531, difference column
Project acquiring unit 532 and first edge column position determination unit 533.
Wherein, the third column projection acquiring unit 531, for obtaining all column projections in grayscale image；
The difference column projection acquiring unit 532, for calculating the difference of adjacent column projection, and by the difference and presets
Gray scale difference value threshold value be compared, obtain the difference greater than preset gray scale difference value threshold value difference column projection；
The first edge column position determination unit 533 is projected for arranging the difference nearest with boundary column position
Column position as first edge column position.
Further, the splicing bank note determining module 540, is used for:
It is greater than preset distance in the absolute value of the boundary column position and the distance difference of the first edge column position
When threshold range, determine the bank note for splicing bank note.
100 yuan of people provided by the embodiment of the present invention can be performed in the identification device of above-mentioned 100 yuans of splicings bank note
Coin splices the recognition methods of bank note, has the corresponding functional module of execution method and beneficial effect.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Will be appreciated by those skilled in the art that each module of the above invention or each step can use general meter
Device is calculated to realize, they can be concentrated on single computing device, or be distributed in network constituted by multiple computing devices
On, optionally, they can be realized with the program code that computer installation can be performed, so as to be stored in storage
It is performed by computing device in device, perhaps they are fabricated to each integrated circuit modules or will be more in them
A module or step are fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and
The combination of software.
All the embodiments in this specification are described in a progressive manner, the highlights of each of the examples are with
The difference of other embodiments, the same or similar part between each embodiment may refer to each other.
The above description is only a preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For, the invention can have various changes and changes.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of recognition methods of 100 yuans of splicings bank note characterized by comprising
The grayscale image of bank note front preset position area is obtained, the preset position area is rectangular area, including the bank note
The left side edge part of part watermark region and the closest watermark region number 1；
The boundary column position of watermark region and image-region in the grayscale image is determined according to the pixel grey scale feature of the grayscale image
It sets；
It is determined according to the pixel grey scale feature of the boundary column position and the grayscale image of the bank note watermark region and image-region
Described digital 1 first edge column position；
Determine whether the bank note is splicing paper according to the distance difference of the boundary column position and the first edge column position
Coin；
Wherein, the pixel grey scale of the boundary column position and the grayscale image according to the bank note watermark region and image-region
Feature determines described digital 1 first edge column position, comprising:
Obtain all column projections in grayscale image；
The difference of adjacent column projection is calculated, and the difference is compared with preset gray scale difference value threshold value, obtains the difference
The difference that value is greater than preset gray scale difference value threshold value arranges projection；
Using the column position of the difference column projection nearest with boundary column position as first edge column position.
2. the method according to claim 1, wherein described determine according to the pixel grey scale feature of the grayscale image
The boundary column position of watermark region and image-region in the grayscale image, comprising:
Obtain all column projections in grayscale image；
The column position of adjacent column projection maximum difference is obtained, and using the column position as boundary column position.
3. the method according to claim 1, wherein described determine according to the pixel grey scale feature of the grayscale image
The boundary column position of watermark region and image-region in the grayscale image, comprising:
Obtain all column projections in grayscale image；
The length for calculating all column Projecteds obtains the column position where the length of greatest gradient, and the column position is made
For boundary column position.
4. the method according to claim 1, wherein described according to the boundary position and the first edge position
The distance difference set determines whether the bank note is splicing bank note, comprising:
It is greater than preset distance threshold in the absolute value of the boundary column position and the distance difference of the first edge column position
When range, determine the bank note for splicing bank note.
5. a kind of identification device of 100 yuans of splicings bank note characterized by comprising
Grayscale image obtains module, and for obtaining the grayscale image of bank note front preset position area, the preset position area is square
Shape region, the left side edge part including bank note part watermark region and the closest watermark region number 1；
Boundary column position determining module, for determining watermark areas in the grayscale image according to the pixel grey scale feature of the grayscale image
The boundary column position in domain and image-region；
First edge column position determining module, for according to the bank note watermark region and image-region boundary column position and institute
The pixel grey scale feature for stating grayscale image determines described digital 1 first edge column position；
Splice bank note determining module, for determining according to the distance difference of the boundary column position and the first edge column position
Whether the bank note is splicing bank note；
Wherein, the first edge column position determining module, comprising:
Third column projection acquiring unit, for obtaining all column projections in grayscale image；
Difference column projection acquiring unit, for calculating the difference of adjacent column projection, and by the difference and preset gray scale difference value
Threshold value is compared, and obtains difference column projection of the difference greater than preset gray scale difference value threshold value；
First edge column position determination unit, for difference column projection that will be nearest with boundary column position column position as
First edge column position.
6. device according to claim 5, which is characterized in that the boundary column position determining module, comprising:
First row projects acquiring unit, for obtaining all column projections in grayscale image；
First boundary column position acquiring unit, for obtaining the column position of adjacent column projection maximum difference, and by the column position
As boundary column position.
7. device according to claim 5, which is characterized in that the boundary column position determining module, comprising:
Secondary series projects acquiring unit, for obtaining all column projections in grayscale image；
Second boundary column position acquiring unit obtains the length institute of greatest gradient for calculating the length of all column Projecteds
Column position, and using the column position as boundary column position.
8. device according to claim 5, which is characterized in that the splicing bank note determining module is used for:
It is greater than preset distance threshold in the absolute value of the boundary column position and the distance difference of the first edge column position
When range, determine the bank note for splicing bank note.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510600761.5A CN106558143B (en) | 2015-09-18 | 2015-09-18 | It is a kind of 100 yuans splicing bank note recognition methods and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510600761.5A CN106558143B (en) | 2015-09-18 | 2015-09-18 | It is a kind of 100 yuans splicing bank note recognition methods and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106558143A CN106558143A (en) | 2017-04-05 |
| CN106558143B true CN106558143B (en) | 2019-07-05 |
Family
ID=58414906
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510600761.5A Active CN106558143B (en) | 2015-09-18 | 2015-09-18 | It is a kind of 100 yuans splicing bank note recognition methods and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106558143B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107067536B (en) * | 2017-04-27 | 2019-07-26 | 深圳怡化电脑股份有限公司 | A kind of image boundary determines method, apparatus, equipment and storage medium |
| CN107195070B (en) * | 2017-05-18 | 2019-09-20 | 深圳怡化电脑股份有限公司 | A kind of secret note identification method and device |
| CN111599080B (en) * | 2019-02-20 | 2022-04-12 | 深圳怡化电脑股份有限公司 | Spliced paper money detection method and device, financial machine tool equipment and storage medium |
| CN110867015A (en) * | 2019-09-29 | 2020-03-06 | 广州国瀚计算机通讯科技有限公司 | RMB counterfeit discriminating method |
| CN111833512A (en) * | 2020-03-05 | 2020-10-27 | 刘建 | Serial number wireless uploading platform and method based on position detection |
| CN112200966A (en) * | 2020-09-28 | 2021-01-08 | 武汉科技大学 | Identification method for RMB paper money forming mode |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN104361674A (en) * | 2014-09-30 | 2015-02-18 | 浙江维融电子科技股份有限公司 | Paper money recognition method and device |
| CN104574638A (en) * | 2014-09-30 | 2015-04-29 | 上海层峰金融设备有限公司 | Method for identifying RMB |
| CN104851184A (en) * | 2015-05-27 | 2015-08-19 | 深圳怡化电脑股份有限公司 | Recognition method of transversely spliced banknote and device thereof |
-
2015
- 2015-09-18 CN CN201510600761.5A patent/CN106558143B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN104361674A (en) * | 2014-09-30 | 2015-02-18 | 浙江维融电子科技股份有限公司 | Paper money recognition method and device |
| CN104574638A (en) * | 2014-09-30 | 2015-04-29 | 上海层峰金融设备有限公司 | Method for identifying RMB |
| CN104851184A (en) * | 2015-05-27 | 2015-08-19 | 深圳怡化电脑股份有限公司 | Recognition method of transversely spliced banknote and device thereof |
Non-Patent Citations (1)
| Title |
|---|
| 纸币图像识别技术研究;徐莹;《中国优秀硕士学位论文全文数据库信息科技辑》;20130215;正文第21-22页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106558143A (en) | 2017-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106558143B (en) | It is a kind of 100 yuans splicing bank note recognition methods and device | |
| CN104992494B (en) | A kind of detection method and device of forge or true or paper money | |
| CN104851184B (en) | A kind of recognition methods of horizontally-spliced bank note and device | |
| CN104867225B (en) | A kind of bank note towards recognition methods and device | |
| JP5344668B2 (en) | Method for automatically confirming securities media item and method for generating template for automatically confirming securities media item | |
| US10474888B1 (en) | Detecting a fragmented object in an image | |
| CN107085883B (en) | A kind of method and apparatus of paper money recognition | |
| CN105894656A (en) | Banknote image recognition method | |
| US10460191B1 (en) | Dynamically optimizing photo capture for multiple subjects | |
| JP4286790B2 (en) | Paper sheet identification method and paper sheet identification apparatus | |
| KR102123910B1 (en) | Serial number rcognition Apparatus and method for paper money using machine learning | |
| AU2016360852B2 (en) | Method for authenticating and/or checking the integrity of a subject | |
| CN107610322A (en) | Recognition methods, device, electronic equipment and the storage medium of bank note version | |
| JP5372183B2 (en) | Coin classification device and coin classification method | |
| CN114270419B (en) | Assessing currency in an area using image processing | |
| CN105654609A (en) | Paper money processing method and paper money processing system | |
| CN107862685A (en) | A kind of artificial intelligence study and the system and method for identification bluetooth cash box bank note number | |
| CN106845469A (en) | A kind of Paper Currency Identification and device | |
| CN107578526B (en) | Banknote identification method and device, terminal equipment and readable storage medium | |
| CN108665603A (en) | Identify the method, apparatus and electronic equipment of bank note currency type | |
| CN106599923A (en) | Detecting method and detecting device for stamped anti-counterfeiting characteristic | |
| CN108806058A (en) | A kind of paper currency detecting method and device | |
| TWI326854B (en) | Verification method for determining areas within an image corresponding to monetary banknote | |
| CN105096446A (en) | Method and system for identifying and authenticating optically variable ink on banknotes with folding corners | |
| CN106296975A (en) | The recognition methods of a kind of dollar bill face amount and device |
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 |