CN106504408B - A kind of method and device identifying RMB - Google Patents
A kind of method and device identifying RMB Download PDFInfo
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- CN106504408B CN106504408B CN201610945426.3A CN201610945426A CN106504408B CN 106504408 B CN106504408 B CN 106504408B CN 201610945426 A CN201610945426 A CN 201610945426A CN 106504408 B CN106504408 B CN 106504408B
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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
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- General Physics & Mathematics (AREA)
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- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The embodiment of the invention discloses a kind of method and devices for identifying RMB.This method comprises: obtaining the first area comprising yin-yang characteristics of image in the positive bank note to be detected in front；Obtain the second area in the bank note to be detected of reverse side forward direction comprising yin-yang characteristics of image；Binary conversion treatment carried out to the first area and the second area, and by after binaryzation first area and second area splice；Spliced region is matched using default template, and determines whether the bank note to be detected is genuine notes or counterfeit money according to matching result.To combine 1999 and 2005 editions 100 yuan of Yin-Yang pattern feature, version is carried out to it and value of money identifies, substantially increases discrimination；Algorithm complexity is low, and according to the matched algorithm of feature templates, time efficiency is high；Binarization threshold is automatically analyzed according to Yin-Yang pattern characteristic, binaryzation effect is good, not the interference vulnerable to environment and noise.
Description
Technical field
The present embodiments relate to the technical field of money-checking more particularly to a kind of method and devices for identifying RMB.
Background technique
Currently, the detection means of bank note has the detection method of the outer feature of purple, detection content has: the detection of true and false bank note,
Extraction, stuck banknotes or the detection for pasting trace at bank note edge etc., do not there is the specific detection side for 100 yuans
Method, especially 100 yuans of the identification method specifically for 1999 versions and 2005 versions.
Summary of the invention
The purpose of the embodiment of the present invention is to propose a kind of method and device for identifying RMB, it is intended to solve how to identify
The problem of 1999 editions and 2005 editions RMB.
For this purpose, the embodiment of the present invention uses following technical scheme:
In a first aspect, a kind of method for identifying RMB, which comprises
Obtain the first area comprising yin-yang characteristics of image in the positive bank note to be detected in front；
Obtain the second area in the bank note to be detected of reverse side forward direction comprising yin-yang characteristics of image；
Binary conversion treatment carried out to the first area and the second area, and by the first area and the after binaryzation
Spliced in two regions；
Spliced region is matched using default template, and determines that the bank note to be detected is according to matching result
No is genuine notes or counterfeit money.
Preferably, the bank note to be detected includes 1999 millboard coin and 2005 millboard coin.
Preferably, the default template is error sum of squares algorithm SSDA template.
It is preferably, described that binary conversion treatment is carried out to the first area and the second area, comprising:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, it is more than or equal to described average
The pixel of value is set as 255, and the pixel less than the average value is set as 0.
Preferably, the default template of the use matches spliced region, and according to matching result determination
Whether bank note to be detected is genuine notes or counterfeit money, comprising:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, of the different pixels point of the spliced region and the default template is obtained
Number；
The position where the smallest pixel of difference is obtained in the different pixels point, and the difference is the smallest
Position and predeterminated position threshold value where pixel；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that described to be detected
Bank note is genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that described to be detected
Bank note is counterfeit money.
Second aspect, a kind of device identifying RMB, described device include:
First obtains module, includes the firstth area of yin-yang characteristics of image in the bank note to be detected for obtaining positive forward direction
Domain；
Second obtains module, includes the second of yin-yang characteristics of image in the bank note to be detected for obtaining reverse side forward direction
Region；
Binarization block, for carrying out binary conversion treatment to the first area and the second area；
Splicing module, for by after binaryzation first area and second area splice；
Determining module for matching using default template to spliced region, and determines institute according to matching result
State whether bank note to be detected is genuine notes or counterfeit money.
Preferably, the bank note to be detected includes 1999 millboard coin and 2005 millboard coin.
Preferably, the default template is error sum of squares algorithm SSDA template.
Preferably, the binarization block, is specifically used for:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, it is more than or equal to described average
The pixel of value is set as 255, and the pixel less than the average value is set as 0.
Preferably, the determining module, is specifically used for:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, of the different pixels point of the spliced region and the default template is obtained
Number；
The position where the smallest pixel of difference is obtained in the different pixels point, and the difference is the smallest
Position and predeterminated position threshold value where pixel；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that described to be detected
Bank note is genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that described to be detected
Bank note is counterfeit money.
The embodiment of the present invention provides a kind of method and device for identifying RMB, obtains in the positive bank note to be detected in front
First area comprising yin-yang characteristics of image；Obtain includes the of yin-yang characteristics of image in the bank note to be detected of reverse side forward direction
Two regions；Binary conversion treatment carried out to the first area and the second area, and by the first area and the after binaryzation
Spliced in two regions；Spliced region is matched using default template, and is determined according to matching result described to be checked
Survey whether bank note is genuine notes or counterfeit money.To combine 1999 and 2005 editions 100 yuan of Yin-Yang pattern feature, version is carried out to it
It is identified with value of money, substantially increases discrimination；Algorithm complexity is low, and according to the matched algorithm of feature templates, time efficiency is high；Root
Binarization threshold is automatically analyzed according to Yin-Yang pattern characteristic, binaryzation effect is good, not the interference vulnerable to environment and noise.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of method for identifying RMB provided in an embodiment of the present invention；
Fig. 2 is a kind of 1999 editions positive schematic diagrames in 100 yuans of front provided in an embodiment of the present invention；
Fig. 3 is a kind of 2005 editions positive schematic diagrames in 100 yuans of front provided in an embodiment of the present invention；
Fig. 4 is a kind of schematic diagram that 1999 editions 100 yuans of fronts are positive provided in an embodiment of the present invention；
Fig. 5 is a kind of schematic diagram of 1999 editions 100 yuans of reverse side forward directions provided in an embodiment of the present invention；
Fig. 6 is a kind of schematic diagram of 2005 editions 100 yuans of reverse side forward directions provided in an embodiment of the present invention；
Fig. 7 is a kind of schematic diagram of 1999 editions 100 yuans of reverse side forward directions provided in an embodiment of the present invention；
Fig. 8 is a kind of pixel value distribution histogram provided in an embodiment of the present invention；
Fig. 9 is the schematic diagram of the obverse and reverse after a kind of binary conversion treatment provided in an embodiment of the present invention；
Figure 10 is a kind of schematic diagram of spliced binary image provided in an embodiment of the present invention
Figure 11 is a kind of the functional block diagram of device for identifying RMB provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this
Locate described specific embodiment and is used only for explaining the embodiment of the present invention, rather than the restriction to the embodiment of the present invention.In addition also
It should be noted that only parts related to embodiments of the present invention are shown rather than entire infrastructure for ease of description, in attached drawing.
It is a kind of flow diagram of method for identifying RMB provided in an embodiment of the present invention with reference to Fig. 1, Fig. 1.
As shown in Figure 1, the method for the identification RMB includes:
Step 101, the first area comprising yin-yang characteristics of image in the positive bank note to be detected in front is obtained；
Wherein, the bank note to be detected includes 1999 millboard coin and 2005 millboard coin.
Specifically, as shown in Fig. 2, Fig. 2 is a kind of 1999 editions 100 yuans of fronts provided in an embodiment of the present invention
Positive schematic diagram；As shown in figure 3, Fig. 3 is that a kind of 2005 editions 100 yuans of fronts provided in an embodiment of the present invention are positive
Schematic diagram；Show as shown in figure 4, Fig. 4 is that a kind of 1999 editions 100 yuans of fronts provided in an embodiment of the present invention are positive
It is intended to.
Step 102, the second area comprising yin-yang characteristics of image in the bank note to be detected of reverse side forward direction is obtained；
Specifically, as shown in figure 5, Fig. 5 is a kind of 1999 editions 100 yuans of reverse side provided in an embodiment of the present invention
Positive schematic diagram；As shown in fig. 6, Fig. 6 be a kind of 2005 editions 100 yuans of reverse side provided in an embodiment of the present invention just
To schematic diagram；As shown in fig. 7, Fig. 7 is that a kind of 1999 editions 100 yuans of reverse side provided in an embodiment of the present invention are positive
Schematic diagram.
Step 103, binary conversion treatment carried out to the first area and the second area, and by first after binaryzation
Region and second area are spliced；
It is preferably, described that binary conversion treatment is carried out to the first area and the second area, comprising:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, it is more than or equal to described average
The pixel of value is set as 255, and the pixel less than the average value is set as 0.
Specifically, as shown in figure 8, Fig. 8 is a kind of pixel value distribution histogram provided in an embodiment of the present invention.
Binaryzation parameters analysis method is as follows:
1, pixel value distribution histogram in yin-yang characteristic area is counted, as shown in Figure 8
2, pixel value locating for prospect (black) peak value is counted, such as the A in Fig. 8；
3, pixel value locating for background (white) peak value is counted, such as the B in Fig. 8；
4, by formula (A+B)/2, binarization threshold C is determined；
5, by yin-yang characteristic area pixel value one by one with threshold value comparison, the pixel more than or equal to threshold value C sets value 255, is less than
The pixel of threshold value C sets value as 0.
As shown in figure 9, Fig. 9 is the signal of the obverse and reverse after a kind of binary conversion treatment provided in an embodiment of the present invention
Figure.As shown in Figure 10, Figure 10 is a kind of schematic diagram of spliced binary image provided in an embodiment of the present invention.
Step 104, spliced region is matched using default template, and is determined according to matching result described to be checked
Survey whether bank note is genuine notes or counterfeit money.
Wherein, the default template is error sum of squares algorithm (Sum of Squared Differences
Algorithm, SSDA) template.
Specifically, as shown in Figure 10, Figure 10 is a kind of schematic diagram of default template provided in an embodiment of the present invention.
Preferably, the default template of the use matches spliced region, and according to matching result determination
Whether bank note to be detected is genuine notes or counterfeit money, comprising:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, of the different pixels point of the spliced region and the default template is obtained
Number；
The position where the smallest pixel of difference is obtained in the different pixels point, and the difference is the smallest
Position and predeterminated position threshold value where pixel；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that described to be detected
Bank note is genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that described to be detected
Bank note is counterfeit money.
The embodiment of the present invention provides a kind of method for identifying RMB, obtains in the positive bank note to be detected in front comprising yin
The first area of positive characteristics of image；Obtain the secondth area in the bank note to be detected of reverse side forward direction comprising yin-yang characteristics of image
Domain；Binary conversion treatment carried out to the first area and the second area, and by the first area and the secondth area after binaryzation
Spliced in domain；Spliced region is matched using default template, and the paper to be detected is determined according to matching result
Whether coin is genuine notes or counterfeit money.To combine 1999 and 2005 editions 100 yuan of Yin-Yang pattern feature, version and coin are carried out to it
Value identification, substantially increases discrimination；Algorithm complexity is low, and according to the matched algorithm of feature templates, time efficiency is high；According to yin
Positive pattern characteristic automatically analyzes binarization threshold, and binaryzation effect is good, not the interference vulnerable to environment and noise.
It is a kind of functional module signal of device for identifying RMB provided in an embodiment of the present invention with reference to Figure 11, Figure 11
Figure.As shown in figure 11, described device includes:
First obtains module 1101, includes the first of yin-yang characteristics of image in the bank note to be detected for obtaining positive forward direction
Region；
Second obtains module 1102, includes yin-yang characteristics of image in the bank note to be detected for obtaining reverse side forward direction
Second area；
Binarization block 1103, for carrying out binary conversion treatment to the first area and the second area；
Splicing module 1104, for by after binaryzation first area and second area splice；
Determining module 1105, for being matched using default template to spliced region, and it is true according to matching result
Whether the fixed bank note to be detected is genuine notes or counterfeit money.
Preferably, the bank note to be detected includes 1999 millboard coin and 2005 millboard coin.
Preferably, the default template is SSDA template.
Preferably, the binarization block 1103, is specifically used for:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, it is more than or equal to described average
The pixel of value is set as 255, and the pixel less than the average value is set as 0.
Preferably, the determining module 1105, is specifically used for:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, of the different pixels point of the spliced region and the default template is obtained
Number；
The position where the smallest pixel of difference is obtained in the different pixels point, and the difference is the smallest
Position and predeterminated position threshold value where pixel；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that described to be detected
Bank note is genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that described to be detected
Bank note is counterfeit money.
The embodiment of the present invention provides a kind of device for identifying RMB, obtains in the positive bank note to be detected in front comprising yin
The first area of positive characteristics of image；Obtain the secondth area in the bank note to be detected of reverse side forward direction comprising yin-yang characteristics of image
Domain；Binary conversion treatment carried out to the first area and the second area, and by the first area and the secondth area after binaryzation
Spliced in domain；Spliced region is matched using default template, and the paper to be detected is determined according to matching result
Whether coin is genuine notes or counterfeit money.To combine 1999 and 2005 editions 100 yuan of Yin-Yang pattern feature, version and coin are carried out to it
Value identification, substantially increases discrimination；Algorithm complexity is low, and according to the matched algorithm of feature templates, time efficiency is high；According to yin
Positive pattern characteristic automatically analyzes binarization threshold, and binaryzation effect is good, not the interference vulnerable to environment and noise.
Describe the technical principle of the embodiment of the present invention in conjunction with specific embodiments above.These descriptions are intended merely to explain this
The principle of inventive embodiments, and it cannot be construed to the limitation to protection scope of the embodiment of the present invention in any way.Based on herein
Explanation, those skilled in the art, which does not need to pay for creative labor, can associate the other specific of the embodiment of the present invention
Embodiment, these modes are fallen within the protection scope of the embodiment of the present invention.
Claims (8)
1. a kind of method for identifying RMB, which is characterized in that the described method includes:
Obtain the first area comprising yin-yang characteristics of image in the positive bank note to be detected in front；
Obtain the second area in the bank note to be detected of reverse side forward direction comprising yin-yang characteristics of image；
Binary conversion treatment carried out to the first area and the second area, and by the first area and the secondth area after binaryzation
Spliced in domain；
Spliced region is matched using default template, and according to matching result determine the bank note to be detected whether be
Genuine notes or counterfeit money；
It is described that spliced region is matched using default template, and determine that the bank note to be detected is according to matching result
No is genuine notes or counterfeit money, comprising:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, the number of the different pixels point of the spliced region and the default template is obtained；
The position where the smallest pixel of difference, and the smallest pixel of the difference are obtained in the different pixels point
Position and predeterminated position threshold value where point；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that the bank note to be detected
For genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that the bank note to be detected
For counterfeit money.
2. the method according to claim 1, wherein the bank note to be detected includes 1999 millboard coin and 2005 editions
Bank note.
3. the method according to claim 1, wherein the default template is error sum of squares algorithm SSDA mould
Plate.
4. according to claim 1 to method described in 3 any one, which is characterized in that described to the first area and described
Second area carries out binary conversion treatment, comprising:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, more than or equal to the average value
Pixel is set as 255, and the pixel less than the average value is set as 0.
5. a kind of device for identifying RMB, which is characterized in that described device includes:
First obtains module, includes the first area of yin-yang characteristics of image in the bank note to be detected for obtaining positive forward direction；
Second obtains module, includes the secondth area of yin-yang characteristics of image in the bank note to be detected for obtaining reverse side forward direction
Domain；
Binarization block, for carrying out binary conversion treatment to the first area and the second area；
Splicing module, for by after binaryzation first area and second area splice；
Determining module, for being matched using default template to spliced region, and according to matching result determine it is described to
Detect whether bank note is genuine notes or counterfeit money；
The determining module, is specifically used for:
Read the pixel in the spliced region and the pixel of the default template；
Matched initial position is set, the number of the different pixels point of the spliced region and the default template is obtained；
The position where the smallest pixel of difference, and the smallest pixel of the difference are obtained in the different pixels point
Position and predeterminated position threshold value where point；
If the position where the smallest pixel of difference is less than the predeterminated position threshold value, it is determined that the bank note to be detected
For genuine notes；
If the position where the smallest pixel of difference is greater than the predeterminated position threshold value, it is determined that the bank note to be detected
For counterfeit money.
6. device according to claim 5, which is characterized in that the bank note to be detected includes 1999 millboard coin and 2005 editions
Bank note.
7. device according to claim 5, which is characterized in that the default template is error sum of squares algorithm SSDA mould
Plate.
8. according to device described in claim 5 to 7 any one, which is characterized in that the binarization block is specifically used for:
The pixel value distribution histogram of the first area and the second area is counted respectively；
The first pixel value locating for prospect peak value is counted according to the pixel value distribution histogram；
The second pixel value locating for background peaks is counted according to the pixel value distribution histogram；
Obtain the average value of first pixel value and second pixel value；
By the pixel value of the first area and second area one by one compared with the average value, more than or equal to the average value
Pixel is set as 255, and the pixel less than the average value is set as 0.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610945426.3A CN106504408B (en) | 2016-11-02 | 2016-11-02 | A kind of method and device identifying RMB |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610945426.3A CN106504408B (en) | 2016-11-02 | 2016-11-02 | A kind of method and device identifying RMB |
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| CN106504408A CN106504408A (en) | 2017-03-15 |
| CN106504408B true CN106504408B (en) | 2019-04-12 |
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Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11110545A (en) * | 1997-09-29 | 1999-04-23 | Ricoh Co Ltd | Image recognition device |
| GB0313002D0 (en) * | 2003-06-06 | 2003-07-09 | Ncr Int Inc | Currency validation |
| CN102063758B (en) * | 2009-11-16 | 2012-12-26 | 深圳市中钞科信金融科技有限公司 | Banknote paper texture detection method and device |
| CN105069900B (en) * | 2015-08-14 | 2018-02-09 | 深圳怡化电脑股份有限公司 | A kind of method and device for handling bank note information |
| CN105184957B (en) * | 2015-09-28 | 2018-07-17 | 深圳怡化电脑股份有限公司 | A kind of paper money discrimination method and system |
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