CN202383766U - Mechanical vibration excited material characteristic-based bill authenticity identification equipment - Google Patents
Mechanical vibration excited material characteristic-based bill authenticity identification equipment Download PDFInfo
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- CN202383766U CN202383766U CN2011205752995U CN201120575299U CN202383766U CN 202383766 U CN202383766 U CN 202383766U CN 2011205752995 U CN2011205752995 U CN 2011205752995U CN 201120575299 U CN201120575299 U CN 201120575299U CN 202383766 U CN202383766 U CN 202383766U
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- bill
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- identification equipment
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Abstract
The utility model provides mechanical vibration excited material characteristic-based bill authenticity identification equipment, which comprises a support part (2) for supporting or fixing a detected bill (1), a signal processing module, more than one sensor (4) and a vibration exciter (5), wherein the output ends of the sensors (4) are connected with the signal processing module; and the vibration exciter (5) is fixedly connected with the support part (2). The authenticity of the detected bill is identified by mechanically vibrating the detected bill to generate sound waves, acquiring the sound waves and performing characteristic analysis on the sound waves. Therefore, authenticity identification for the bill is identification for specific sound waves generated by a specific material for the bill rather than identification for the appearance of the bill, bill authenticity identification accuracy is improved, and bill authenticity identification speed is increased.
Description
Technical field
The utility model belongs to the bill distinguishment technical field, is specifically related to a kind of papers identification equipment that excites the material characteristic based on mechanical vibration.
Background technology
Along with the development of society, bill business shared proportion in national economy is increasing, and its amount of money is very big sometimes, so bill is more and more important with the effect in the circulation in marketplace exchange.Therefore its security requirement is higher than money transaction far away.
For improving the security of bill business, on bill, usually be provided with anti-counterfeiting mark.Existing papers recognition methods generally includes following two types: the first kind; Manual work is Direct Recognition by rule of thumb: promptly: the anti-counterfeiting mark through on the Direct observation bill is distinguish true from false; The major defect that this method exists is: because the pseudo-technology for making of bill is increasingly high now, through artificial Direct Recognition method, have the defective of papers identification erroneous judgement; In addition, also there are problems such as recognition speed is low.Second type, discern through photoelectric sensor: promptly: with the tested bill of the rayed of different wave length, gather bill reflection or transmission image, and the image that collects is analyzed, thereby discern tested papers through photoelectric sensor.The major defect that this method exists is: the image analysing computer that collects is difficult to reach uniqueness; Promptly might judge by accident; In addition; Also exist because tested bill in use, can cause the image of tested bill to change because of various extraneous factors, thereby reduced the accuracy of discerning papers.
So, need a kind of method of quick identification papers more accurately at present.
The utility model content
Defective to the prior art existence; The utility model provides a kind of and excites the papers identification equipment of material characteristic based on mechanical vibration, produces sound wave through making tested bill generation mechanical vibration, and then gathers this sound wave; Through sound wave is carried out signature analysis; Thereby discern the true and false of tested bill, therefore, the utility model is not the identification to the bill outward appearance to the identification of papers; But the identification of the specific acoustic wave that the bill specific materials is produced, thereby papers recognition accuracy and recognition speed have been improved.
The technical scheme that the utility model adopts is following:
The utility model provides a kind of and excites the papers identification equipment of material characteristic based on mechanical vibration, comprising: be used for supporting or the support component (2) of fixing tested bill (1), signal processing module, one with upper sensor (4) and vibrator (5); The output terminal of said sensor (4) is connected with said signal processing module; Said vibrator (5) and fastening linking to each other of said support component (2).
Preferably, said sensor (4) contacts with said tested bill (1).
Preferably, said support component (2) be one with upper support bar, the said tested bill of said they sup-port (1), the area of the end face that said support bar contacts with said tested bill (1) is the 0.1-10 square millimeter.
Preferably, said support component comprises: above anchor clamps, the side of the said tested bill of said anchor clamps clamping (1).
Preferably, said anchor clamps are the 0.1-10 millimeter with the length that said tested bill (1) directly contacts.
Preferably, said support component (2) is fixed on the base (6) through elastomeric element (3).
Preferably, said vibrator (5) comprising: inertia-type vibrator and/or electrodynamic type vibrator and/or electromagnetic actuator; Said sensor (4) is an acoustoelectric sensor.
Preferably, said signal processing module comprises signal amplification circuit, wave filter, analog to digital conversion circuit and the central processing unit that connects successively, and the input end of said signal amplification circuit is connected with the signal output part of said sensor (4).
The utility model also provides a kind of and excites the papers recognition methods of material characteristic based on mechanical vibration, may further comprise the steps:
S1, said vibrator (5) make said tested bill (1) vibration, and then make said tested bill (1) send sound wave;
S2, said sensor (4) is gathered said sound wave, convert said sound wave into electric signal after, send to said signal processing module;
S3, said signal processing module carries out pre-service to the electric signal from S2 that receives, and obtains pretreated signal, then this pretreated signal is carried out feature extraction, obtains proper vector;
S4, said signal processing module matees said proper vector and the standard feature vector that prestores, and discerns the true and false of said tested bill through the size of matching degree.
Preferably, S1 is specially:
Said vibrator (5) makes said tested bill (1) vibration through driving said support component (2) vibration, and then makes said tested bill (1) send sound wave;
Among the S3, said signal processing module is handled the electric signal from S2 that receives, and the signal after obtaining handling is specially:
Said signal processing module carries out following processing successively to the electric signal from S2 that receives: carry out processing and amplifying, carry out Filtering Processing, carry out analog to digital conversion through analog-digital conversion circuit as described through said filtering circuit through said signal amplification circuit; Obtain digital signal, this digital signal is said pretreated signal; Through said central processing unit processing this pretreated signal is carried out feature extraction, obtain proper vector.
The beneficial effect of the utility model is following:
The utility model provides a kind of and excites the papers identification equipment of material characteristic based on mechanical vibration, produces sound wave through making tested bill generation mechanical vibration, and then gathers this sound wave; Through sound wave is carried out signature analysis; Thereby discern the true and false of tested bill, therefore, the utility model is not the identification to the bill outward appearance to the identification of papers; But the identification of the specific acoustic wave that the bill specific materials is produced, thereby papers recognition accuracy and recognition speed have been improved.
Description of drawings
Fig. 1 excites the structural representation of the papers identification equipment of material characteristic for what the utility model provided based on mechanical vibration;
Fig. 2 excites the schematic flow sheet of the papers recognition methods of material characteristic for what the utility model provided based on mechanical vibration.
Embodiment
Excite the papers identification equipment of material characteristic to be elaborated to what the utility model provided based on mechanical vibration below in conjunction with accompanying drawing.
As shown in Figure 1; Excite the structural representation of the papers identification equipment of material characteristic for what the utility model provided based on mechanical vibration, comprising: be used to support or the support component 2 of fixing tested bill 1, signal processing module, one with upper sensor 4 and vibrator 5; The output terminal of sensor 4 is connected with signal processing module; Vibrator 5 and 2 fastening linking to each other of support component.
In the utility model; Vibrator is mainly used in and makes tested bill produce mechanical vibration, and therefore, the utility model does not limit the particular type of vibrator; Concrete, vibrator 5 comprises: inertia-type vibrator and/or electrodynamic type vibrator and/or electromagnetic actuator etc.Sensor 4 in the utility model can be acoustoelectric sensor, and, in the utility model, can use a plurality of sensors to gather the mechanical wave that bill produces from different perspectives, thereby improve recognition accuracy.In addition, sensor 4 preferably contacts with tested bill 1, thereby improves the sampled intensity of sensor, the decay when the reduction sound wave outwards transmits.
Support component 2 is used for supporting or fixing tested bill, introduces respectively in the face of this dual mode down:
First kind: supporting role, support component 2 be one with upper support bar, through the tested bill 1 of they sup-port; Because support bar also has the effect of the transfer of vibration of vibrator being given tested bill in the utility model; So,, reduce the interference of support bar to tested bill for improving the precision of transfer of vibration; The area of support bar and the end face that tested bill directly contacts should be as much as possible little; The inventor is through test of many times, when the area of the end face that confirms directly to contact when support bar and tested bill is the 0.1-10 square millimeter, can effectively improve the recognition accuracy of papers.In addition, support component 2 is fixed on the base 6 through elastomeric element 3, and wherein, elastomeric element 3 can be two springs.
Second kind: fixation; Can be on support component symmetry first anchor clamps and second anchor clamps are installed, through the dual-side of the tested bill 1 of anchor clamps clamping, same reason based on supporting role the time; The length that anchor clamps and tested bill directly contact should be as far as possible little; The inventor is through experiment confirm, and is when first anchor clamps are the 0.1-10 millimeter with the length that second anchor clamps and tested bill 1 directly contact, very high to the accuracy rate of papers identification.
Signal processing module comprises signal amplification circuit, wave filter, analog to digital conversion circuit and the central processing unit that connects successively, and the input end of signal amplification circuit is connected with the signal output part of sensor 4.
As shown in Figure 2, the utility model also provides a kind of and excites the papers recognition methods of material characteristic based on mechanical vibration, may further comprise the steps:
S1, vibrator 5 make tested bill 1 vibration, and then make tested bill 1 send sound wave;
Concrete, vibrator 5 can make tested bill 1 vibration through driving support component 2 vibrations, and then makes tested bill 1 send sound wave.
S2, sensor 4 is gathered the sound wave that S1 produce, and after converting this sound wave into electric signal, sends to signal processing module; Sensor 4 can be acoustoelectric sensor.
S3, signal processing module carries out pre-service to the electric signal from S2 that receives, and obtains pretreated signal, then this pretreated signal is carried out feature extraction, obtains proper vector;
Concrete; Signal processing module carries out following processing successively to the electric signal from S2 that receives: carry out processing and amplifying, carry out Filtering Processing, carry out analog to digital conversion through analog to digital conversion circuit through filtering circuit through signal amplification circuit; Obtain digital signal, this digital signal is said pretreated signal; Through the central processing unit processing this pretreated signal is carried out feature extraction, obtain proper vector.In addition, the method for characteristic signal being extracted proper vector comprises: the coefficient behind frequency domain energy, digital signal process discrete cosine transform or the wavelet transformation, extract finite dimensional proper vector then.
S4, signal processing module matees proper vector and the standard feature vector that prestores, and discerns the true and false of tested bill through the size of matching degree.
Concrete, central processing unit matees the intensity and the direction of proper vector respectively with the standard feature vector that prestores, and according to the true and false of the size identification bill of matching degree.
Need to prove; In the prior art, adopt photoelectric sensor identification papers usually: promptly:, gather bill reflection or transmission image through photoelectric sensor with the tested bill of the rayed of different wave length; And the image that collects analyzed, thereby discern tested papers.Because existing method is based on the identification to bill image; Promptly adopt the Flame Image Process mode to discern papers; The major defect that this kind method exists is: (1) because the bill image that collects is a picture format, so, need take bigger storage space it is stored; (2) in process to papers identification, need to adopt loaded down with trivial details algorithm, and operand is very big, thereby has reduced the speed of discerning, increased the weight of the burden of recognition system; (3) in the conventional images matching process, the method that coupling is adopted is pattern match or image similarity analysis, for the matching process of similarity, therefore, has the defective of papers identification erroneous judgement that is:; And in the utility model, adopt digital form to carry out feature extraction to the mechanical wave that collects, obtain proper vector, and further compare proper vector; Owing to adopt digital form, so on the one hand, the storage space that takies is little; On the other hand, also have the little advantage of operand, moreover, because the utility model is based on the coupling of the proper vector of specific materials; Adopt proper vector near uniqueness owing to differentiate material, so, can significantly improve the accuracy rate that bill is discerned; Wherein, the proper vector of the utility model is the peculiar vector of specific materials, for the bill of personation; Because it does not have the material of true bill or several kinds of materials of special ratios, therefore, the bill of personation does not have corresponding proper vector.Through comparison to the specific vector of bill specific materials, thus the true and false of identification bill.And the complexity of the process that proper vector is compared is far below the process to the image comparison.So the utility model can significantly improve the recognition speed of papers.In addition; What the utility model provided excites the papers identification equipment and the method for material characteristic based on mechanical vibration; Can be used with equipment and method through photoelectric sensor identification papers in the prior art; Thereby more comprehensively papers is discerned the final accuracy rate that improves identification.
In sum; The utility model provides a kind of and excites the papers identification equipment of material characteristic based on mechanical vibration, produces sound wave through making tested bill generation mechanical vibration, and then gathers this sound wave; Through sound wave is carried out signature analysis; Thereby discern the true and false of tested bill, therefore, the utility model is not the identification to the bill outward appearance to the identification of papers; But the identification of the specific acoustic wave that the bill specific materials is produced, thereby the accuracy rate and the recognition speed of papers identification have been improved.
The above only is the preferred implementation of the utility model; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the utility model principle; Can also make some improvement and retouching, these improvement and retouching also should be looked the protection domain of the utility model.
Claims (8)
1. one kind excites the papers identification equipment of material characteristic based on mechanical vibration, it is characterized in that, comprising: be used for supporting or the support component (2) of fixing tested bill (1), signal processing module, one with upper sensor (4) and vibrator (5); The output terminal of said sensor (4) is connected with said signal processing module; Said vibrator (5) and fastening linking to each other of said support component (2).
2. according to claim 1ly excite the papers identification equipment of material characteristic, it is characterized in that said sensor (4) contacts with said tested bill (1) based on mechanical vibration.
3. the papers identification equipment that excites the material characteristic based on mechanical vibration according to claim 1; It is characterized in that; Said support component (2) be one with upper support bar; The said tested bill of said they sup-port (1), the area of the end face that said support bar contacts with said tested bill (1) is the 0.1-10 square millimeter.
4. according to claim 1ly excite the papers identification equipment of material characteristic, it is characterized in that said support component comprises: above anchor clamps, the side of the said tested bill of said anchor clamps clamping (1) based on mechanical vibration.
5. according to claim 4ly excite the papers identification equipment of material characteristic, it is characterized in that said anchor clamps are the 0.1-10 millimeter with the length that said tested bill (1) directly contacts based on mechanical vibration.
6. according to claim 1ly excite the papers identification equipment of material characteristic, it is characterized in that said support component (2) is fixed on the base (6) through elastomeric element (3) based on mechanical vibration.
7. according to claim 1ly excite the papers identification equipment of material characteristic, it is characterized in that said vibrator (5) comprising: inertia-type vibrator and/or electrodynamic type vibrator and/or electromagnetic actuator based on mechanical vibration; Said sensor (4) is an acoustoelectric sensor.
8. the papers identification equipment that excites the material characteristic based on mechanical vibration according to claim 1; It is characterized in that; Said signal processing module comprises signal amplification circuit, wave filter, analog to digital conversion circuit and the central processing unit that connects successively, and the input end of said signal amplification circuit is connected with the signal output part of said sensor (4).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205752995U CN202383766U (en) | 2011-12-31 | 2011-12-31 | Mechanical vibration excited material characteristic-based bill authenticity identification equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205752995U CN202383766U (en) | 2011-12-31 | 2011-12-31 | Mechanical vibration excited material characteristic-based bill authenticity identification equipment |
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| Publication Number | Publication Date |
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| CN202383766U true CN202383766U (en) | 2012-08-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN2011205752995U Expired - Fee Related CN202383766U (en) | 2011-12-31 | 2011-12-31 | Mechanical vibration excited material characteristic-based bill authenticity identification equipment |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102446376A (en) * | 2011-12-31 | 2012-05-09 | 北京中科金财科技股份有限公司 | Bill authenticity identification device and method based on characteristics of mechanical vibration excitation material |
| WO2014048091A1 (en) * | 2012-09-29 | 2014-04-03 | 广州广电运通金融电子股份有限公司 | Anti-counterfeiting feature generation method for valuable document and authentication method and device therefor |
| CN104599392A (en) * | 2015-02-12 | 2015-05-06 | 重庆邮电大学 | Instrument and method for identifying authenticity of collected coins |
| CN106645409A (en) * | 2016-12-29 | 2017-05-10 | 北京旷视科技有限公司 | Document authenticity identifying method and device |
-
2011
- 2011-12-31 CN CN2011205752995U patent/CN202383766U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102446376A (en) * | 2011-12-31 | 2012-05-09 | 北京中科金财科技股份有限公司 | Bill authenticity identification device and method based on characteristics of mechanical vibration excitation material |
| WO2014048091A1 (en) * | 2012-09-29 | 2014-04-03 | 广州广电运通金融电子股份有限公司 | Anti-counterfeiting feature generation method for valuable document and authentication method and device therefor |
| US9499006B2 (en) | 2012-09-29 | 2016-11-22 | Grg Banking Equipment Co., Ltd. | Anti-counterfeiting feature generation method for valuable document and authentication method and device therefor |
| CN104599392A (en) * | 2015-02-12 | 2015-05-06 | 重庆邮电大学 | Instrument and method for identifying authenticity of collected coins |
| CN106645409A (en) * | 2016-12-29 | 2017-05-10 | 北京旷视科技有限公司 | Document authenticity identifying method and device |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120815 Termination date: 20141231 |
|
| EXPY | Termination of patent right or utility model |