CN107123187A - A kind of authenticity of banknotes detection method and system - Google Patents
A kind of authenticity of banknotes detection method and system Download PDFInfo
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- CN107123187A CN107123187A CN201710374836.1A CN201710374836A CN107123187A CN 107123187 A CN107123187 A CN 107123187A CN 201710374836 A CN201710374836 A CN 201710374836A CN 107123187 A CN107123187 A CN 107123187A
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- banknote
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- key feature
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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
- G07D7/16—Testing the dimensions
- G07D7/162—Length or width
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- Inspection Of Paper Currency And Valuable Securities (AREA)
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Abstract
The present invention relates to a kind of authenticity of banknotes detection method, it comprises the following steps：Step 1, IMAQ and correction, gather banknote image, image are rotated and cut according to the banknote summit measured and angle information, effective banknote image-region is found；Step 2, key feature point, to the carry out key feature point of banknote image to be measured, the size characteristic value of banknote image to be measured is calculated according to the relative coordinate of key feature point；Step 3, the true and false judges, the size characteristic value of banknote image relatively more to be measured and the degree of closeness of the corresponding standard size characteristic value of preset standard banknote, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to normal banknote.This programme is by localizing the global error of banknote image measurement to the relative coordinate between multiple key feature points, by the relativization of multiple absolute errors, reaches reduction error to lift the purpose of accuracy of identification.
Description
Technical field
It is particularly a kind of precisely to be examined by gathering picture size to banknote the present invention relates to a kind of authenticity of banknotes detection method
Survey the method and system for realizing authenticity of banknotes detection.
Background technology
Requirement according to People's Bank of China to banknote quality, the size of normal banknote must is fulfilled for a certain size, banknote
It is oversized or it is too small belong to abnormal banknote, and demonetize.If therefore in its size of the banknote circulated on the market
Occur abnormal, generally it can be thought that be due to that artificial cutting or splicing are caused, and this department's banknote is exactly described in us
Do not allow the improper banknote of circulation.
Currently for the size detection of banknote, typically by gathering banknote image, by being detected to the banknote image
The overall width and height of banknote are calculated, then the physical dimension with standard bill compares, see whether meet size requirement,
Normal size banknote is judged to if meeting, abnormal banknote is otherwise judged to, can be anti-in conjunction with other for the banknote of normal size
Pseudo-characteristic determines whether authenticity of banknotes.
And be that indirect meter is carried out to the banknote image of scanning collection at present when carrying out dimensional measurement to banknote image
Calculate, and this inevitably by such as banknote actual physical size error, image capture device mechanical movement error, with
And the influence of one or several factors such as image flame detection error, make collection banknote image occur larger error (up to 6mm with
On), ultimately cause banknote size to be measured and larger deviation occurs in standard bill size, and cause for true banknote due to chi
Very little problem and be determined as counterfeit money so that banknotes processing apparatus to true banknote make refusal processing faulty operation.And for chi
The very little cutting consistent with standard bill splices improper banknote because its physical size is unanimously mistaken as genuine notes, finally may be used
The recognition result of mistake can be caused so that improper banknote enters market circulation.
The content of the invention
In order to solve in the prior art because banknote picture size error is larger and causes the reduction of identification accuracy and sanction
Cut or splice paper money recognition efficiency it is low or by mistake know technical problem, propose it is a kind of will measure global error localization authenticity of banknotes
Detection method and system.
This authenticity of banknotes detection method, it comprises the following steps：
Step 1, IMAQ and correction, gather banknote image, according to the banknote summit and angle information measured to figure
As being rotated and being cut, effective banknote image-region is found；
Step 2, key feature point, to the carry out key feature point of banknote image to be measured, according to key feature
The relative coordinate of point location calculates the size characteristic value of banknote image to be measured；
Step 3, the true and false judges, the size characteristic value and the corresponding gauge of preset standard banknote of banknote image relatively more to be measured
The degree of closeness of very little characteristic value, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to
Normal banknote.
It is preferred that, the carry out key feature point to banknote image to be measured is specifically included：
Step 2.1, to the coarse positioning of the progress key feature points of banknote image to be measured, according to banknote denominations Information and
Configuration information finds the Position Approximate of key feature points, and key feature is calculated by the way of projective iteration or integrogram positioning
The coarse positioning coordinate of point；
Step 2.2, to the fine positioning for carrying out key feature points of banknote image to be measured, on the basis of above-mentioned coarse positioning coordinate
On extend out N number of pixel, calculate accurate coordinates by the way of template matches, wherein N is natural number, N=3 preferably.
Further, the key feature points include the transverse features point and longitudinal characteristic point of banknote image, wherein, the horizontal stroke
It is used for the lateral dimension characteristic value for calculating banknote image to characteristic point, longitudinal characteristic point is used for the longitudinal ruler for calculating banknote image
Very little characteristic value.
Further, the number of the transverse features point and longitudinal characteristic point is respectively greater than 2.
Further, the transverse features point and longitudinal characteristic point at least one to reuse characteristic point.
It is preferred that, the collection banknote image includes collection banknote direct picture and verso images.
The present invention also provides a kind of authenticity of banknotes detecting system, and it includes：
One banknote image capture module, for gathering banknote image, and according to the banknote summit measured and angle information
Image is rotated and cut, effective banknote image-region is found；
One positioning feature point module, for the carry out key feature point to banknote image to be measured, according to key feature
The relative coordinate of point location calculates the size characteristic value of banknote image to be measured；
One authenticity of banknotes judge module, characteristic value and the corresponding spy of preset standard banknote for comparing banknote image to be measured
The degree of closeness of value indicative, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to normal
Banknote.
It is preferred that, the positioning feature point module is specifically included：
One coarse positioning module, to banknote image to be measured progress key feature points coarse positioning, according to banknote denominations towards
Information and configuration information find the Position Approximate of key feature points, and pass is calculated by the way of projective iteration or integrogram positioning
The coarse positioning coordinate of key characteristic point；
One fine positioning module, to the fine positioning of the progress key feature points of banknote image to be measured, in above-mentioned coarse positioning coordinate
On the basis of extend out N number of pixel, calculate accurate coordinates by the way of template matches, wherein N is natural number.
Authenticity of banknotes detection scheme provided by the present invention has the advantages that compared with prior art：
This programme is by the carry out key feature point to banknote image to be measured, according to the relative of key feature point
Coordinate calculates the size characteristic value of banknote image to be measured；Be tod especially by the relative coordinate between multiple key feature points
The global error localization of banknote image measurement, has evaded overall banknote scale error large effect, global error has been refined
To part, and by the relativization of multiple absolute errors, reduction error is reached to lift the purpose of accuracy of identification, and effectively solve
Certainly solve the problems, such as the satisfactory cutting of overall dimensions or the erroneous judgement of splicing paper money.
Brief description of the drawings
Fig. 1 is a kind of handling process schematic diagram of authenticity of banknotes detection method provided by the present invention；
Fig. 2 is the main flow schematic diagram of the carry out key feature point to banknote image in Fig. 1；
Fig. 3 is that the banknote image one side of one currency type of citing carries out key feature points reconnaissance schematic diagram；
Fig. 4 is the system composition schematic diagram for realizing authenticity of banknotes detection method described in Fig. 1.
Specific embodiment
The embodiments described below are only a part of embodiment of the invention, rather than whole embodiments.Based on this
Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example is applied, the scope of protection of the invention is belonged to.
As shown in figure 1, this authenticity of banknotes detection method that the present invention is provided, mainly comprises the following steps：
S1, IMAQ and correction, gather banknote image, image are entered according to the banknote summit measured and angle information
Row rotation and cutting, find effective banknote image-region；
S2, positioning feature point, to the carry out key feature point of banknote image to be measured, according to key feature point
Relative coordinate calculates the size characteristic value of banknote image to be measured；
S3, the true and false judges, compares the size characteristic value and the corresponding standard size of preset standard banknote of banknote image to be measured
The degree of closeness of characteristic value, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to just
Normal banknote.
In order to improve location efficiency and precision, as shown in Fig. 2 the carry out key feature points to banknote image to be measured are fixed
Position is specifically included：
S2.1, to the coarse positioning of the progress key feature points of banknote image to be measured, according to banknote denominations Information and setting
Confidence ceases the Position Approximate for finding key feature points, and key feature points are calculated by the way of projective iteration or integrogram positioning
Coarse positioning coordinate；
S2.2, to the fine positioning of the progress key feature points of banknote image to be measured, on the basis of above-mentioned coarse positioning coordinate
N number of pixel is extended out, accurate coordinates are calculated by the way of template matches, wherein N is natural number, N=3 preferably.
For the identification accuracy to banknote image length and width size, it is preferred that the key feature points include banknote image
Transverse features point and longitudinal characteristic point, wherein, the transverse features point is used for the lateral dimension characteristic value for calculating banknote image, should
Longitudinal characteristic point is used for the longitudinal size characteristic value for calculating banknote image.
Further, the number of the transverse features point and longitudinal characteristic point is respectively greater than 2, it is contemplated that treatment effeciency with
The number selection of the contradiction of accuracy, the transverse features point and longitudinal characteristic point is advisable at 3-8, handles energy in equipment certainly
In the case that power is high, it can suitably increase feature point number, to improve accuracy on the premise for the treatment of effeciency is ensured.
Further, judge the accuracy of authenticity of banknotes to improve, in the transverse features point and longitudinal characteristic point extremely
Rare one is reuse characteristic point, to carry out detection judgement to the binding characteristic of banknote image transverse and longitudinal direction size.
It is preferred that, the collection banknote image includes collection banknote direct picture and verso images, positive and negative to banknote image
Face carries out above-mentioned true and false detecting step respectively, to obtain more accurate testing result.
The above method is described in more details below by the detection process to a banknote currency type：
The preset value of the selection of banknote key features in this programme and the standard size characteristic value of standard bill is entered first
Row explanation：
First, the selection definition of key feature points, the condition or mark of selection are carried out to the banknote of all kinds to be dealt with
It is accurate as follows：
(1) key feature points area can cover banknote horizontal direction and longitudinal direction respectively, as schematically shown in Figure 3, be respectively
A kind of selection signal of horizontal and vertical key feature points of positive and negative of one denomination of banknote, is clicked through to selected key feature
The corresponding mark of row, such as：Positive transverse direction key feature points are designated as (FH1, FH2, FH3, FHV4), and longitudinal key feature points are labeled as
(FHV4,FV5,FV6)；Wherein FHV4 is that transverse and longitudinal reuses characteristic point；
(2) selection in key feature points area is according to the print characteristics per class banknote, and selection belongs to one-time formed Printing Zone
Domain；
2nd, the pre-generatmg of standard bill key feature point and size characteristic value, M standard bills of selection, is counted
Its coordinate information on banknote, wherein M is natural number, and M values are bigger, and the standard bill key feature points characteristic value of formation more connects
Nearly true standard banknote theoretical value.
As being by taking the transverse features point of the face image of standard bill one as an example, after four key feature points of selection are positioned
Coordinate is：
FH1：(x1,y1)
FH2：(x2,y2)
FH3：(x3,y3)
FHV4：(x4,y4)
It is as follows according to the process that the relative coordinate values of above-mentioned 4 four key feature points calculate size characteristic value：
FX1=x1；
FX2=x2-x1；
FX3=x3-x2；
FX4=x4-x3；
FX5=width-x4；
FX6=x3-x1；
FX7=x4-x2；
FX8=x4-x1；
FX1~FX8 is the standard size characteristic value calculated, and wherein FX6~FX8 is across characteristic area standard size feature
Value, width is the long hem width angle value of the banknote identified.
By counting M master sample banknotes, final standard size characteristic value SFX1~SFX8 is obtained.Standard size is special
Value indicative statistic processes is by gathering M (wherein M>=100) normal banknote sample, its each dimensional feature value is calculated respectively
FX1~FX8, then carries out descending sort to each dimension sample characteristics, and excludes front and rear 20% suspicious sample, to centre 60%
Sample calculate average value be used as the standard size characteristic value counted.
By the above method can calculate other towards standard size characteristic value, and recorded respectively.By pair
The banknote species of processing in need carry out the pre-generatmg of above-mentioned standard size characteristic value, ultimately form standard size feature sample
This storehouse, is that follow-up sample to be detected is compared used in judgement.
Below by one to a banknote to be detected towards typical detection process, to the authenticity of banknotes detection method
It is described in detail：
1st, IMAQ and correction, gather banknote image, image are entered according to the banknote summit measured and angle information
Row rotation and cutting, find effective banknote image-region；
The key feature points of sample to be tested are accurately positioned by the 2nd, key feature point.It is quick accurate fixed to realize
The method combined in position, this programme using coarse positioning+fine positioning, wherein coarse positioning is to find pass according to banknote denominations Information
Key characteristic point calculates the rough of key feature points in the Position Approximate of banknote by the way of projective iteration or integrogram positioning
Position；It is that N=3 in N number of pixel, the present embodiment is extended out on the basis of coarse positioning coordinate to be accurately positioned, using template matches
Mode calculates accurate coordinates.
Specifically by taking the horizontal key feature points of one side as an example, four characteristic point accurate coordinates information, as shown in figure 3, respectively
It is designated as：
FH1：(x1,y1)
FH2：(x2,y2)
FH3：(x3,y3)
FHV4：(x4,y4)
Sample to be tested relative size feature value calculating method is：
FX1=x1；
FX2=x2-x1；
FX3=x3-x2；
FX4=x4-x3；
FX5=width-x4；
FX6=x3-x1；
FX7=x4-x2；
FX8=x4-x1；
FX1~FX8 is the size characteristic value of the banknote sample to be measured calculated, and wherein FX6~FX8 is banknote sample to be measured
Across characteristic area size characteristic value, width is the long hem width degree of the banknote measured；
3rd, the true and false judges, the size characteristic value and preset standard size characteristic value of banknote image relatively more to be measured, if error
More than threshold value T, then abnormal banknote is judged to.
Differentiate as follows:
|FXi–SFXi|>=T1, { wherein i=(1~5) } and
|FXi–SFXi|>=T2, { wherein i=(6~8) }
It is then the abnormal banknote of size to meet either condition in above-mentioned two decision logic, is otherwise normal banknote.
In specific experiment, by taking 100 yuan of RMB as an example, collection banknote image resolution ratio be 100dpi, by 1,000,000 with
On test sample, statistics often tie up size characteristic value maximum and minimum value deviation, based on this programme propose local feature inspection
Survey method precision is ± 0.5mm and ± 0.7mm, i.e. threshold value T1=± 0.5mm, T2=± 0.7mm.
The longitudinal size of image, and for example above-mentioned process of the horizontal and vertical detection process of another side are gathered for banknote,
It will not be repeated here.
As shown in figure 4, the present invention also provides a kind of preferred authenticity of banknotes detecting system, it includes following module：
One banknote image capture module 1, for gathering banknote image, and according to the banknote summit measured and angle information
Image is rotated and cut, effective banknote image-region is found；
One positioning feature point module 2, for the carry out key feature point to banknote image to be measured, according to key feature
The relative coordinate of point location calculates the size characteristic value of banknote image to be measured；
One authenticity of banknotes judge module 3, the characteristic value and preset standard banknote for comparing banknote image to be measured is corresponding
The degree of closeness of characteristic value, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to just
Normal banknote.
It is preferred that, the positioning feature point module is specifically included：
One coarse positioning module 21, to the coarse positioning of the progress key feature points of banknote image to be measured, according to banknote denominations face
The Position Approximate of key feature points is found to information and configuration information, is calculated by the way of projective iteration or integrogram positioning
The coarse positioning coordinate of key feature points；
One fine positioning module 22, to the fine positioning of the progress key feature points of banknote image to be measured, sits in above-mentioned coarse positioning
N number of pixel is extended out on the basis of target, accurate coordinates are calculated by the way of template matches, wherein N is natural number.
Above disclosed is only a kind of preferred embodiment of the invention, can not limit the power of the present invention with this certainly
Sharp scope, therefore the equivalent variations made according to scope of the present invention patent, still belong to the scope that the present invention is covered.
Claims (8)
1. a kind of authenticity of banknotes detection method, it comprises the following steps：
Step 1, IMAQ and correction, gather banknote image, image are entered according to the banknote summit measured and angle information
Row rotation and cutting, find effective banknote image-region；
Step 2, key feature point, it is fixed according to key feature points to the carry out key feature point of banknote image to be measured
The relative coordinate of position calculates the size characteristic value of banknote image to be measured；
Step 3, the true and false judges, the size characteristic value and the corresponding standard size of preset standard banknote of banknote image relatively more to be measured are special
The degree of closeness of value indicative, if error exceedes threshold value, is judged to abnormal banknote, if error is not less than threshold value, is judged to normal
Banknote.
2. authenticity of banknotes detection method as claimed in claim 1, it is characterised in that the closing to banknote image to be measured
Key positioning feature point is specifically included：
Step 2.1, to the coarse positioning for carrying out key feature points of banknote image to be measured, according to banknote denominations Information and setting
Information finds the Position Approximate of key feature points, and key feature points are calculated by the way of projective iteration or integrogram positioning
Coarse positioning coordinate；
Step 2.2, it is outer on the basis of above-mentioned coarse positioning coordinate to the fine positioning for carrying out key feature points of banknote image to be measured
Expand N number of pixel, accurate coordinates are calculated by the way of template matches, wherein N is natural number.
3. the authenticity of banknotes detection method as described in claim 1 and 2, it is characterised in that the key feature points include banknote
The transverse features point of image and longitudinal characteristic point, wherein, the transverse features point is used for the lateral dimension feature for calculating banknote image
Value, longitudinal characteristic point is used for the longitudinal size characteristic value for calculating banknote image.
4. authenticity of banknotes detection method as claimed in claim 3, it is characterised in that the transverse features point and longitudinal characteristic point
Number be respectively greater than 2.
5. authenticity of banknotes detection method as claimed in claim 4, it is characterised in that the transverse features point and longitudinal characteristic point
At least one is reuse characteristic point.
6. authenticity of banknotes detection method as claimed in claim 1, it is characterised in that the collection banknote image includes collection paper money
Ticket direct picture and verso images.
7. a kind of authenticity of banknotes detecting system, it includes：
One banknote image capture module, for gathering banknote image, and according to the banknote summit and angle information measured to figure
As being rotated and being cut, effective banknote image-region is found；
One positioning feature point module, it is fixed according to key feature points for the carry out key feature point to banknote image to be measured
The relative coordinate of position calculates the size characteristic value of banknote image to be measured；
One authenticity of banknotes judge module, characteristic value and the corresponding characteristic value of preset standard banknote for comparing banknote image to be measured
Degree of closeness, if error exceed threshold value, be judged to abnormal banknote, if error is not less than threshold value, be judged to normal banknote.
8. authenticity of banknotes detecting system as claimed in claim 7, it is characterised in that the positioning feature point module is specifically wrapped
Include：
One coarse positioning module, to the coarse positioning of the progress key feature points of banknote image to be measured, according to banknote denominations Information
The Position Approximate of key feature points is found with configuration information, crucial spy is calculated by the way of projective iteration or integrogram positioning
Levy coarse positioning coordinate a little；
One fine positioning module, to the fine positioning of the progress key feature points of banknote image to be measured, in the base of above-mentioned coarse positioning coordinate
N number of pixel is extended out on plinth, accurate coordinates are calculated by the way of template matches, wherein N is natural number.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710374836.1A CN107123187A (en) | 2017-05-24 | 2017-05-24 | A kind of authenticity of banknotes detection method and system |
| PCT/CN2018/079783 WO2018214627A1 (en) | 2017-05-24 | 2018-03-21 | Method and system for detecting authenticity of banknote |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710374836.1A CN107123187A (en) | 2017-05-24 | 2017-05-24 | A kind of authenticity of banknotes detection method and system |
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| Publication Number | Publication Date |
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| CN107123187A true CN107123187A (en) | 2017-09-01 |
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| CN201710374836.1A Pending CN107123187A (en) | 2017-05-24 | 2017-05-24 | A kind of authenticity of banknotes detection method and system |
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| WO (1) | WO2018214627A1 (en) |
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| CN113255641A (en) * | 2020-12-31 | 2021-08-13 | 深圳怡化电脑股份有限公司 | Image identification method and device, electronic equipment and storage medium |
| CN115100786A (en) * | 2022-06-16 | 2022-09-23 | 中国银行股份有限公司 | Cash management and control method, system, equipment and storage medium |
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| CN115100786B (en) * | 2022-06-16 | 2024-06-04 | 中国银行股份有限公司 | Cash management and control method, system, equipment and storage medium |
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| Publication number | Publication date |
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| WO2018214627A1 (en) | 2018-11-29 |
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Application publication date: 20170901 |