CN102610020A - Recognition device of two-sided images of coin and recognition method thereof - Google Patents

Recognition device of two-sided images of coin and recognition method thereof Download PDF

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Publication number
CN102610020A
CN102610020A CN2012100068679A CN201210006867A CN102610020A CN 102610020 A CN102610020 A CN 102610020A CN 2012100068679 A CN2012100068679 A CN 2012100068679A CN 201210006867 A CN201210006867 A CN 201210006867A CN 102610020 A CN102610020 A CN 102610020A
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coin
lighting source
recognition device
image
passage
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CN2012100068679A
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CN102610020B (en
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刘靖
陈晋辉
周鹏
李海玉
刁涛
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Guangzhou Metro Group Co Ltd
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Guangzhou Metro Corp
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Abstract

The invention discloses a recognition device of two-sided images of a coin and a recognition method thereof. The recognition device comprises a coin channel, a lighting unit, an image collecting unit and a data processing unit, wherein the lighting unit is respectively provided with a lighting light source sequence at two sides of the coin channel to cast light for coins passing through the coin channel; and the image collecting unit is provided with a camera at one side of the coin channel and is provided with a reflector at the other side of the coin channel corresponding to the position of the camera to shoot the front and back images of the coins passing through the coin channel. The recognition device has the beneficial effects that the whole structure is simple and compact, the volume is small, the recognition device is convenient for embedded assembly, the cost is low, and the recognition device is suitable for use in environments needing recognize the coins at once, such as vending machines and ticket vendors; and through a series of recognition processing steps, the device can quickly effectively recognize the kind and true or false of the coin by synchronously obtaining the two-sided images of the coin, avoiding falsely receiving counterfeit coins with different images and counterfeit coins with same images but two-sided angular deviation beyond the standard.

Description

Coin two-sided pattern recognition device and recognition methods thereof
Technical field
The present invention relates to a kind of Coin identifying apparatus, belong to the image recognition technology field, refer in particular to a kind of Coin two-sided pattern recognition device and recognition methods thereof.
Background technology
At present, general coin recognizing method method is to realize the differentiation to the coin kind and the true and false through parameters such as coin material, size and thickness are carried out compound detection.This recognition methods technology maturation, applicability are wide, have been widely used in various Vending Machines at present.But the defective of this recognition methods is to discern non-image characteristics such as coin dimensions, thickness, material but xenogenesis coin that decorative pattern image and genuine note there are differences similar with genuine note, like game money, foreign coin etc.Therefore, the introducing of image-recognizing method has solved the identification problem to above-mentioned xenogenesis coin.
Existing Coin image identification method is to utilize imageing sensors such as video camera to obtain the true and false that a certain side image information of coin is discerned coin.This type recognition methods can identify the kind and the value of money that can receive coin (genuine note) through the characteristic of analyzing the coin floral designs; But; Because sampled point is merely the one-sided image of coin; There is certain limitation, mainly shows as: for the identical legal coin that only identifies different denominations of back side pattern with the front pattern, might be because what extract be back side image and can't correctly judge the kind and the face amount of coin; For double-side pattern is identical but the figure angular deviation exceeds the counterfeit money of standard, the identification of single face coin image also can't be judged the true and false.
And Coin two-sided Image Acquisition technology is mainly used in coinage quality testing fields such as bank, mint at present, and its purposes is whether the coin surface detail pattern that check produces has manufacturing deficiency; The contrast mould is single, fixing; Only decorative pattern is compared, the coin pattern is not carried out kind and distinguish and face amount identification, and; Bulky, be not suitable for embedded environment.Therefore, do not find temporarily in the coin recognizing method field at present to utilize the Coin two-sided image that obtains synchronously to carry out the apparatus and method of coin kind and truth identification.
Summary of the invention
The objective of the invention is to overcome the shortcoming that exists in the prior art with not enough, provide a kind of simple in structure, volume is little, the identification processing power is strong, the Coin two-sided pattern recognition device that can effectively discern the coin kind and the true and false.
Another object of the present invention is to provide the recognition methods of above-mentioned Coin two-sided pattern recognition device.
In order to realize first purpose, the present invention realizes according to following technical scheme:
A kind of Coin two-sided pattern recognition device; Include coin passage, lighting unit, image acquisition units and data processing unit, wherein, said lighting unit is respectively arranged with the lighting source sequence in the coin passage both sides; In order to the coin throw light through coin passage; Said image acquisition units is provided with camera in coin passage one side, is provided with reflective mirror in the coin passage opposite side corresponding to the position of camera, in order to take the pro and con image through the coin of coin passage.
Further, said coin passage is tending towards forming slanted angle to extending below with horizontal line along the coin working direction, and its cross section is the concave shape structure, and the two side of concave shape structure is for the perspective body and it is highly more than or equal to coin diameter.
Further, said coin passage is tending towards to extending below along the coin working direction, forms slanted angle with horizontal line, and its cross section is the concave shape structure, and the two side of concave shape structure is that occulter and its highly are less than or equal to 40% of coin diameter.
Further; Said lighting unit includes the first lighting source sequence, the second lighting source sequence, reaches the lighting source control module; Wherein, The first lighting source sequence is arranged at coin passage one side, and second lighting source is arranged at the corresponding opposite side of coin passage, and the first lighting source sequence and the second lighting source sequence electrically connect with the lighting source control module respectively.
Further, the second place sensor that said lighting unit also includes when leaving the primary importance sensor that triggers and/or triggers when arriving, primary importance sensor and/or second place sensor are connected with lighting source control module signal respectively.
Further; Said image acquisition units includes camera, reflective mirror, reaches the IMAQ control module; Wherein, Camera is arranged at the oblique top of coin passage one side and is connected with IMAQ control module signal; Reflective mirror is arranged at the oblique top of the corresponding opposite side of coin passage, and the IMAQ control module is connected with the data processing unit signal with the lighting source control module respectively again, in order to photographic images under the driving of lighting source control module synchronizing signal and view data is converted into DID imports data processing unit into and handle.
In order to realize second purpose, the present invention realizes according to following technical scheme:
The recognition methods of Coin two-sided pattern recognition device according to claim 1; It is characterized in that may further comprise the steps: a, luminous first side and second side of illuminating through the coin of coin passage of lighting source sequence, camera is taken first side of coin and the original image A of second side; B, original image A is carried out pre-service and deformation correct, and original image A is divided into real image A1 and virtual image A2 along the reflective mirror lower edge; C, respectively real image A1 and virtual image A2 are carried out coin location and coin edge extracting, and coin edge elliptic equation least square fitting is obtained elliptic parameter A11 and A22, again according to the original size of perspective effect and elliptic parameter A11 and A22 count coins; D, judge that the result of calculation of original size of coin is whether consistent; If difference is greater than setting then be wrong identification; Moving back coin handles; If difference is less than setting then with original size and genuine note range of size relatively, the coin within specialized range is not moved back coin as counterfeit money handle, the coin within specialized range is further identification then; E, the coin contravariant is changed to standard circular RA1 and RA2, and standard circular RA1 and RA2 are expanded into polar form P1 and P2 according to elliptic parameter; F, P1 and all coin polar form templates are carried out correlation calculations; Obtain maximum correlation template and differential seat angle D1; If maximum correlation is less than setting then move back coin as counterfeit money and handle, if greater than setting then confirm that the coin kind is the said kind of maximum correlation template; G, this kind coin polar form template that P2 and f step are confirmed are carried out correlation calculations; Obtain maximum correlation and differential seat angle D2; If maximum correlation is less than setting then move back coin as counterfeit money and handle; If greater than setting then D1 and D2 are subtracted each other, difference is then moved back coin as counterfeit money greater than setting and is handled, and difference then is identified as genuine note and definite value of money less than setting.
Further, in the said a step, camera is taken the original image A and the B of first side and second side of coin interval time, and expands into polar form PA1, PA2 and PB1, PB2 according to above-mentioned b, c, d and e step.
Further; Said polar form PA1 and PB1 carry out correlation calculations and obtain the maximum correlation differential seat angle; And PA1 and PB1 fusion are complete coin pattern polar form P1 according to correlativity calculation result; In like manner just PA2 and PB2 fusion is complete coin pattern polar form P2, again P1 and P2 is discerned processing according to above-mentioned f and g step.
Further, the shooting of said original image A is that coin triggers when leaving the primary importance sensor and takes, and the shooting of original image B is that coin triggers when arriving second place sensor and takes.
The present invention compared with prior art, its beneficial effect is:
1, one-piece construction compact, volume is little, is convenient to embedded assembling, and is with low cost, and being suitable for automatic vending machine, automatic machine etc. need use the environment that coin is discerned immediately;
2, through obtaining synchronously to Coin two-sided image; And through a series of identification treatment steps; Can discern the kind and the true and false of coin fast and effectively, avoid the different counterfeit money of pattern and pattern is identical but two-sided angular deviation exceeds the mistake of the counterfeit money of standard accepts.
In order to understand the present invention more clearly, below accompanying drawings is set forth embodiment of the present invention.
Description of drawings
Fig. 1 is the structural representation of the embodiment of the invention 1.
Fig. 2 is the side structure synoptic diagram of Fig. 1.
Fig. 3 is the workflow diagram of the embodiment of the invention 1.
Fig. 4 is the structural representation of the embodiment of the invention 2.
Fig. 5 is the side structure synoptic diagram of Fig. 4.
Fig. 6 is the workflow diagram of the embodiment of the invention 2.
Embodiment
Embodiment 1
Like Fig. 1, shown in 2, Coin two-sided pattern recognition device according to the invention includes coin passage 1, lighting unit, image acquisition units and data processing unit.
Above-mentioned coin passage 1 is tending towards to extending below along the coin working direction; Form slanted angle with horizontal line; Its cross section is the concave shape structure, and the two side of concave shape structure is for having an X-rayed body and its height more than or equal to coin diameter, and the perspective body is had relatively high expectations to the light transmission and the wearing quality of material.
Above-mentioned lighting unit includes the first lighting source sequence 21, the second lighting source sequence 22, and lighting source control module 23; Wherein, The first lighting source sequence 21 is arranged at coin passage 1 one sides; The second lighting source sequence 22 is arranged at the corresponding opposite side of coin passage, and the first lighting source sequence 21 electrically connects with lighting source control module 23 respectively with the second lighting source sequence 22, in order to coin 3 throw lights that pass through coin passage 1.Further, said lighting unit also includes the primary importance sensor 24 that triggers when leaving, and primary importance sensor 24 is connected with lighting source control module 23 signals.
Above-mentioned image acquisition units includes camera 41, reflective mirror 42, reaches IMAQ control module 43; Wherein, Camera 41 is arranged at the oblique top of coin passage 1 one sides and is connected with IMAQ control module 43 signals; Reflective mirror 42 is arranged at the oblique top of coin passage 1 corresponding opposite side; IMAQ control module 43 is connected with data processing unit 5 signals with lighting source control module 23 respectively again, in order to photographic images under lighting source control module 23 synchronizing signals drive and view data is converted into DID imports data processing unit 5 into and handle.
As shown in Figure 3, the recognition methods of present embodiment may further comprise the steps:
A, coin are through coin passage and when leaving the primary importance sensor; The primary importance sensor-triggered; Luminous first side and second side of illuminating through the coin of coin passage of the first lighting source sequence and second lighting source, camera is taken first side of coin and the original image A of second side;
B, original image A is carried out pre-service and deformation correct; Pre-service is through filtering and denoising, enhance image quality; It is to eliminate scalloping and the distortion that is produced by camera lens that deformation is corrected, and afterwards original image A is divided into real image A1 and virtual image A2 along the reflective mirror lower edge;
C, respectively real image A1 and virtual image A2 are carried out coin location and coin edge extracting; Obtain the coin edge of ellipse arc shape; Coin edge elliptic equation least square fitting is obtained elliptic parameter A11 and A22; Again according to nearly far away little perspective effect and elliptic parameter A11 and A22, the original size of count coins;
D, judge that the result of calculation of original size of coin is whether consistent; If difference is greater than setting then be wrong identification; Moving back coin handles; If difference is less than setting then with original size and genuine note range of size relatively, the coin within specialized range is not moved back coin as counterfeit money handle, the coin within specialized range is further identification then;
E, the coin contravariant is changed to standard circular RA1 and RA2, and standard circular RA1 and RA2 are expanded into polar form P1 and P2 according to elliptic parameter A11 and A22;
F, P1 and all coin polar form templates are carried out correlation calculations; Obtain maximum correlation template and differential seat angle D1; If maximum correlation is less than setting then move back coin as counterfeit money and handle, if greater than setting then can confirm that the coin kind is the said kind of maximum correlation template;
The another side pattern polar form template of g, this kind coin that P2 and f step are confirmed is carried out correlation calculations; Obtain maximum correlation and differential seat angle D2; If maximum correlation is less than setting then move back coin as counterfeit money and handle; If greater than setting then D1 and D2 are subtracted each other, difference is then moved back coin as counterfeit money greater than setting and is handled, and difference then is identified as genuine note and definite value of money less than setting.
Through to the obtaining synchronously of Coin two-sided image, and, can discern the kind and the true and false of coin fast and effectively, avoid the different counterfeit money of pattern and pattern is identical but two-sided angular deviation exceeds the mistake of the counterfeit money of standard accepts through a series of identification treatment steps.
Embodiment 2
Like Fig. 4, shown in 5; Described Coin two-sided pattern recognition device of present embodiment and embodiment 1 are basic identical; Difference only is; The two side of said coin passage 1 concave shape structure is that occulter and its highly are less than or equal to 40% of coin 3 diameters; And the second place sensor 25 that triggers when including when leaving the primary importance sensor 24 that triggers and arriving of said lighting unit; Primary importance sensor 24 is connected with lighting source control module 23 signals respectively with second place sensor 25; And the distance between primary importance sensor and the second place sensor will guarantee the part that coin is blocked by coin passage when the primary importance sensing station, when second place sensing station, can reveal fully, to guarantee in shooting process, carrying out image co-registration to obtain complete coin image through the coin original image that obtains diverse location.
As shown in Figure 6, the recognition methods of present embodiment may further comprise the steps:
A, coin are through coin passage and when leaving the primary importance sensor; The primary importance sensor-triggered; Luminous first side and second side of illuminating through the coin of coin passage of the first lighting source sequence and second lighting source; Camera is taken first side of coin and the original image A of second side, when coin arrives second place sensor behind the certain hour at interval, and second place sensor-triggered; Luminous first side and second side of illuminating coin of the first lighting source sequence and second lighting source, camera is taken first side of coin and the original image B of second side;
B, original image A and B are carried out pre-service and deformation respectively correct; Pre-service is through filtering and denoising; It is to eliminate scalloping and the distortion that is produced by camera lens that enhance image quality, deformation are corrected, and afterwards original image A and B is divided into real image A1, B1 and virtual image A2, B2 along the reflective mirror lower edge;
C, respectively real image A1, B1 and virtual image A2, B2 are carried out coin location and coin edge extracting; Obtain the coin edge of ellipse arc shape; Coin edge elliptic equation least square fitting is obtained elliptic parameter A11, A22, B11 and B22; Again according to nearly far away little perspective effect and elliptic parameter A11, A22, B11 and B22, the original size of count coins;
D, judge that the result of calculation of original size of coin is whether consistent; If difference is greater than setting then be wrong identification; Moving back coin handles; If difference is less than setting then with original size and genuine note range of size relatively, the coin within specialized range is not moved back coin as counterfeit money handle, the coin within specialized range is further identification then;
E, the coin contravariant is changed to standard circular RA1, RA2, RB1 and RB2 according to elliptic parameter A11, A22, B11 and B22; And standard circular RA1, RA2, RB1 and RB2 are expanded into polar form PA1, PA2 and PB1, PB2; Again polar form PA1 and PB1 are carried out correlation calculations and obtain the maximum correlation differential seat angle; And according to correlativity calculation result PA1 and PB1 fusion are complete coin pattern polar form P1, in like manner just PA2 and PB2 fusion is complete coin pattern polar form P2;
F, P1 and all coin polar form templates are carried out correlation calculations; Obtain maximum correlation template and differential seat angle D1; If maximum correlation is less than setting then move back coin as counterfeit money and handle, if greater than setting then can confirm that the coin kind is the said kind of maximum correlation template;
The another side pattern polar form template of g, this kind coin that P2 and f step are confirmed is carried out correlation calculations; Obtain maximum correlation and differential seat angle D2; If maximum correlation is less than setting then move back coin as counterfeit money and handle; If greater than setting then D1 and D2 are subtracted each other, difference is then moved back coin as counterfeit money greater than setting and is handled, and difference then is identified as genuine note and definite value of money less than setting.
The present invention is not limited to above-mentioned embodiment; If various changes of the present invention and modification are not broken away from the spirit and scope of the present invention; If these are changed and modification belongs within claim of the present invention and the equivalent technologies scope, then the present invention also is intended to comprise these changes and modification.

Claims (10)

1. Coin two-sided pattern recognition device; Include coin passage, lighting unit, image acquisition units and data processing unit; It is characterized in that: said lighting unit is respectively arranged with the lighting source sequence in the coin passage both sides; In order to the coin throw light through coin passage; Said image acquisition units is provided with camera in coin passage one side, is provided with reflective mirror in the coin passage opposite side corresponding to the position of camera, in order to take the pro and con image through the coin of coin passage.
2. according to the said Coin two-sided pattern recognition device of claim 1; It is characterized in that: said coin passage is tending towards to extending below along the coin working direction; Form slanted angle with horizontal line; Its cross section is the concave shape structure, and the two side of concave shape structure is for the perspective body and it is highly more than or equal to coin diameter.
3. according to the said Coin two-sided pattern recognition device of claim 1; It is characterized in that: said coin passage is tending towards to extending below along the coin working direction; Form slanted angle with horizontal line; Its cross section is the concave shape structure, and the two side of concave shape structure is that occulter and its highly are less than or equal to 40% of coin diameter.
4. according to claim 2 or 3 said Coin two-sided pattern recognition devices; It is characterized in that: said lighting unit includes the first lighting source sequence, the second lighting source sequence, reaches the lighting source control module; Wherein, The first lighting source sequence is arranged at coin passage one side, and the second lighting source sequence is arranged at the corresponding opposite side of coin passage, and the first lighting source sequence and the second lighting source sequence electrically connect with the lighting source control module respectively.
5. according to the said Coin two-sided pattern recognition device of claim 4; It is characterized in that: the second place sensor that said lighting unit also includes when leaving the primary importance sensor that triggers and/or triggers when arriving, primary importance sensor and/or second place sensor are connected with lighting source control module signal respectively.
6. according to claim 2 or 3 said Coin two-sided pattern recognition devices; It is characterized in that: said image acquisition units includes camera, reflective mirror, reaches the IMAQ control module; Wherein, Camera is arranged at the oblique top of coin passage one side and is connected with IMAQ control module signal; Reflective mirror is arranged at the oblique top of the corresponding opposite side of coin passage, and the IMAQ control module is connected with the data processing unit signal with the lighting source control module respectively again, in order to photographic images under the driving of lighting source control module synchronizing signal and view data is converted into DID imports data processing unit into and handle.
7. the recognition methods of Coin two-sided pattern recognition device according to claim 1 is characterized in that may further comprise the steps:
A, luminous first side and second side of illuminating through the coin of coin passage of lighting source sequence, camera is taken first side of coin and the original image A of second side;
B, original image A is carried out pre-service and deformation correct, and original image A is divided into real image A1 and virtual image A2 along the reflective mirror lower edge;
C, respectively real image A1 and virtual image A2 are carried out coin location and coin edge extracting, and coin edge elliptic equation least square fitting is obtained elliptic parameter A11 and A22, again according to the original size of perspective effect and elliptic parameter A11 and A22 count coins;
D, judge that the result of calculation of original size of coin is whether consistent; If difference is greater than setting then be wrong identification; Moving back coin handles; If difference is less than setting then with original size and genuine note range of size relatively, the coin within specialized range is not moved back coin as counterfeit money handle, the coin within specialized range is further identification then;
E, the coin contravariant is changed to standard circular RA1 and RA2, and standard circular RA1 and RA2 are expanded into polar form P1 and P2 according to elliptic parameter;
F, P1 and all coin polar form templates are carried out correlation calculations; Obtain maximum correlation template and differential seat angle D1; If maximum correlation is less than setting then move back coin as counterfeit money and handle, if greater than setting then confirm that the coin kind is the said kind of maximum correlation template;
G, this kind coin polar form template that P2 and f step are confirmed are carried out correlation calculations; Obtain maximum correlation and differential seat angle D2; If maximum correlation is less than setting then move back coin as counterfeit money and handle; If greater than setting then D1 and D2 are subtracted each other, difference is then moved back coin as counterfeit money greater than setting and is handled, and difference then is identified as genuine note and definite value of money less than setting.
8. according to the recognition methods of the said Coin two-sided pattern recognition device of claim 7; It is characterized in that: in the said a step; Camera is taken the original image A and the B of first side and second side of coin interval time, and expands into polar form PA1, PA2 and PB1, PB2 according to above-mentioned b, c, d and e step.
9. the recognition methods of said Coin two-sided pattern recognition device according to Claim 8; It is characterized in that: said polar form PA1 and PB1 carry out correlation calculations and obtain the maximum correlation differential seat angle; And PA1 and PB1 fusion are complete coin pattern polar form P1 according to correlativity calculation result; In like manner just PA2 and PB2 fusion is complete coin pattern polar form P2, again P1 and P2 is discerned processing according to above-mentioned f and g step.
10. the recognition methods of said Coin two-sided pattern recognition device according to Claim 8; It is characterized in that: the shooting of said original image A is that coin triggers when leaving the primary importance sensor and takes, and the shooting of original image B is that coin triggers when arriving second place sensor and takes.
CN201210006867.9A 2012-01-11 2012-01-11 Recognition device of two-sided images of coin and recognition method thereof Active CN102610020B (en)

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CN106803306A (en) * 2017-01-13 2017-06-06 湖南理工学院 A kind of bus coin automatic identification equipment and method
CN110415425A (en) * 2019-07-16 2019-11-05 广州广电运通金融电子股份有限公司 Detecting of coin and recognition methods, system and storage medium based on image
CN110462694A (en) * 2017-03-31 2019-11-15 劳雷尔精机株式会社 Coin identifying apparatus, Coin processor and coin discriminating method
CN111753707A (en) * 2020-06-19 2020-10-09 上海交通大学 Method and system for detecting imperfect grains of granular crops
CN113128516A (en) * 2020-01-14 2021-07-16 北京京东乾石科技有限公司 Edge extraction method and device
CN116957979A (en) * 2023-07-29 2023-10-27 京品高科信息科技(北京)有限公司 Goods display supervision method, container and server

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CN105225331A (en) * 2015-10-28 2016-01-06 威海华菱光电股份有限公司 Coin detecting equipment and Detecting of coin method
CN106803306A (en) * 2017-01-13 2017-06-06 湖南理工学院 A kind of bus coin automatic identification equipment and method
CN110462694A (en) * 2017-03-31 2019-11-15 劳雷尔精机株式会社 Coin identifying apparatus, Coin processor and coin discriminating method
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CN110462694B (en) * 2017-03-31 2022-05-10 劳雷尔精机株式会社 Coin discriminating apparatus, coin processing apparatus, and coin discriminating method
CN110415425A (en) * 2019-07-16 2019-11-05 广州广电运通金融电子股份有限公司 Detecting of coin and recognition methods, system and storage medium based on image
CN113128516A (en) * 2020-01-14 2021-07-16 北京京东乾石科技有限公司 Edge extraction method and device
CN113128516B (en) * 2020-01-14 2024-04-05 北京京东乾石科技有限公司 Edge extraction method and device
CN111753707A (en) * 2020-06-19 2020-10-09 上海交通大学 Method and system for detecting imperfect grains of granular crops
CN116957979A (en) * 2023-07-29 2023-10-27 京品高科信息科技(北京)有限公司 Goods display supervision method, container and server

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