CN103761795A - Method for identifying counterfeit money of paper money anti-counterfeit feature database - Google Patents
Method for identifying counterfeit money of paper money anti-counterfeit feature database Download PDFInfo
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- CN103761795A CN103761795A CN201410067308.8A CN201410067308A CN103761795A CN 103761795 A CN103761795 A CN 103761795A CN 201410067308 A CN201410067308 A CN 201410067308A CN 103761795 A CN103761795 A CN 103761795A
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Abstract
The invention discloses a technology for identifying counterfeit money and particularly relates to a method for identifying counterfeit money of a paper money anti-counterfeit feature database. The defects of the prior art are that a single counterfeit money identifying technology cannot accurately identify various versions of counterfeit money and source tracing management cannot be performed on the identified counterfeit money. The method for identifying the counterfeit money of the paper money anti-counterfeit feature database includes the following steps that authentic identification is performed on paper money through a financial machine; feature vectors are generated by various identified images, optical features and prefix number feature information according to a standardized format and uploaded to the anti-counterfeit feature database; relevance between various counterfeit money and known counterfeit money is set up; an inquire request sent by an inquire client terminal is received, the database is inquired and retrieved, and a result is sent to the inquire client terminal; the anti-counterfeit feature database feeds back information of the counterfeit money feature vectors which frequently occur to a safety center, and the information is processed. The method for identifying the counterfeit money of the paper money anti-counterfeit feature database has the advantages that the anti-counterfeit identification capability is strong, the information sent to the anti-counterfeit feature database is effectively prevented from being interfered by man-made or accidental abnormal data, and therefore source tracing can be effectively performed on the counterfeit money.
Description
Technical field
The present invention relates to counterfeit money authentication technique, specifically a kind of guiding against false of paper currency property data base is differentiated the method for counterfeit money.
Background technology
Along with scientific and technical development and progress, the level that law-breaker makes counterfeit money also changes along with the appearance of new edition currency.The counterfeit money of various version spreads unchecked, and affects the stable and socioeconomic development in financial market.Existing bank note authentication technique has: ultraviolet/white light/infrared/multispectral image analysis and identification technology; Safety line feature magnetometric analysis authentication technique; Magnetic image analysis and identification technology; The qualitative authentication technique of magnetic feature; Serial number recognition technology etc.The shortcoming of prior art is: 1. single counterfeit money authentication technique is difficult to the counterfeit money of miscellaneous editions to carry out precise Identification.2. cannot be to the counterfeit money management of tracing to the source of differentiating; Cannot effectively identify and hit counterfeit money source.
Therefore invention is a kind of combines multiple bank note authentication technique, counterfeit money that can precise Identification various version; Can be to the counterfeit money management of effectively tracing to the source, hit the guiding against false of paper currency property data base in counterfeit money source and differentiate that the method for counterfeit money is very important.
Summary of the invention
The object of this invention is to provide a kind of counterfeit money that can precise Identification various version; Can be to the counterfeit money management of effectively tracing to the source, the guiding against false of paper currency property data base that hits counterfeit money source is differentiated the method for counterfeit money.
The object of the present invention is achieved like this:
Guiding against false of paper currency property data base is differentiated a method for counterfeit money, and step is:
(1) data upload client is set, by financial machine and tool, bank note is carried out to false distinguishing identification; By various images, optical signature, the serial number characteristic information of identification, according to standardized form generating feature vector;
(2) this characteristic vector data and information are uploaded to anti-counterfeiting characteristic database;
(3) anti-counterfeiting characteristic database, by neural network, machine learning, is classified to counterfeit money, sets up associated between all kinds of counterfeit moneys and known counterfeit money;
(4) anti-counterfeiting characteristic database receives the inquiry request that inquiring client terminal sends, and the data in inquiry searching database, are transported to inquiring client terminal by classification results after contrast;
(5) anti-counterfeiting characteristic database, by the counterfeit money proper vector frequently occurring, is added up its circulation chain, information is fed back to security centre and process.
Described uploads between client, anti-counterfeiting characteristic database, inquiring client terminal, by internet, communicates.
The described financial machine and tool of step (1) comprises cleaning-sorting machine, currency counting and detecting machine, automatic teller machine.
The bank note that step (1) is described, comprises the legal bank note of various denominations and the counterfeit money of various version.
The described client of uploading is provided with supervision unit.
Described anti-counterfeiting characteristic database is provided with security protection unit.
Technical matters to be solved by this invention is, for protean counterfeit money on the market, provides a kind of based on multiple authentication technique, false proofly tracing to the source conveniently, to the bank note false proof source tracing method that particularly counterfeit money is effectively identified and managed.
Main points of the present invention are:
According to the various anti-counterfeiting characteristic vectors of bank note, set up anti-counterfeiting characteristic database, the proper vector of the false distinguishing characteristic informations such as the various images of anti-counterfeiting characteristic database storage bank note, optics, serial number, and the fiduciary circulation information corresponding with proper vector, set up the corresponding relationship between specific proper vector and circulation information.According to the false distinguishing characteristic information of bank note and circulation information, determine source, the outlet of counterfeit money and various counterfeit moneys; Client is identified to paper money discrimination feature and the circulation information in the paper money discrimination feature uploaded and circulation information and property data base, stored and contrast, look into the old and continuous new information of supplementing.Database hub, inquiring client terminal and upload between client, communicate by internet.
The present invention includes the database of guiding against false of paper currency features such as comprising various images and optics, anti-counterfeiting characteristic database has been stored the proper vector of the false distinguishing characteristic informations such as the legal bank note of various denominations and the various images of various version counterfeit money, optics and serial number, and with the circulation information of the corresponding bank note of proper vector.According to the false distinguishing characteristic information of bank note and circulation information, determine source and the outlet of various counterfeit moneys; Paper money discrimination feature and the circulation information in the paper money discrimination feature that outside can be uploaded and circulation information and anti-counterfeiting characteristic database, stored contrast, and look into old benefit new.
Inquiring client terminal of the present invention sends inquiry request and false distinguishing proper vector arrives anti-counterfeiting characteristic database, for anti-counterfeiting characteristic database, carries out the classification of false distinguishing Characteristic Contrast; Described upload client and financial utensil collection can be identified to the process information obtaining, the anti-counterfeiting characteristic of all kinds of bank note is set up proper vector, and corresponding circulation information uploads to anti-counterfeiting characteristic database, carries out foundation and the updating maintenance of anti-counterfeiting characteristic database.
Financial utensil of the present invention comprises the instrument that currency counting and detecting machine, cleaning-sorting machine, automatic teller machine etc. are differentiated circulating paper money.The result of financial machine and tool comprises the false distinguishing features such as characteristics of image, optical signature, serial number, comprise version not, the bank note basic feature information such as time, denomination, and the fiduciary circulation information such as acquisition time, place.The proper vector that different pieces of information is uploaded client upload is all to carry out standardization by corresponding agreement, the information of carrying out integration, the dimension of the various false distinguishing proper vectors of bank note being extracted, put in order etc. and to set up a unification, general standard, then according to this standard, the bank note information of client upload is standardized and normalization, thereby realize the maximum using of resource.Upload client and be provided with supervision unit, comprise the supervision unit of artificial and machine, prevent the information that flows to anti-counterfeiting characteristic database by the normal identifying processing at center, artificial or unexpected abnormal data interfering data storehouse.Upload client and say theoretically to have certain reliability and safety, its information of uploading should be also normal data, but do not get rid of have artificial malice distort and forgery and transmitting procedure in information disturb and improper interruption etc.Therefore, the supervision unit adding can initiatively read the false distinguishing recognition result of financial machine and tool, and this information is uploaded to anti-counterfeiting characteristic database and the information contrast of uploading client upload, if having disappearance or omit phenomenon, comparing result need be back to supervision unit and upload client, again uploading.
Anti-counterfeiting characteristic database is provided with security protection unit, prevents the information acquisition and the listening in information problem that occur in transmitting procedure, guarantees that the information of anti-counterfeiting characteristic database can not invaded by lawless person and utilize, and guarantees integrality and the security of data.
Anti-counterfeiting characteristic database is by methods such as neural network, machine learning, and unceasing study counterfeit money feature, classifies to counterfeit money; And set up associated between all kinds of counterfeit moneys and known counterfeit money source.Then by the method for the data minings such as cluster, classification and correlation analysis, excavate the classification of counterfeit money under in database, and then the source of definite counterfeit money.Finally, the database hub result of tracing to the source of counterfeit money can being classified turns back to inquiring client terminal.
Inquiring client terminal initiatively sends information inquiry application to anti-counterfeiting characteristic database, and the contrast by anti-counterfeiting characteristic database data feature with inquiry end data, carries out Classification and Identification to bank note, reaches the effect that false distinguishing is traced to the source.
Orientation and the source tracing method of anti-counterfeiting characteristic database are further set to: inquiring client terminal can read proper vector and the corresponding circulation information about a certain false proof point of bank note in anti-counterfeiting characteristic database; Upload the false proof some identification result generating feature vector that client can obtain financial appliance identification and be updated to anti-counterfeiting characteristic database, and upgrade and upload corresponding circulation information by site, financial utensil place.For example: the various information that bank client can read in anti-counterfeiting characteristic database are identified and trace to the source for counterfeit money, the counterfeit money feature identifying and source-information can also be uploaded in anti-counterfeiting characteristic database, the information in anti-counterfeiting characteristic database is upgraded in expansion simultaneously.
Upload client and financial utensil collection is identified to the process information obtaining, the anti-counterfeiting characteristic of all kinds of bank note is set up proper vector and is uploaded to database.By the false distinguishing identification of financial utensil, can determine the true and false of bank note, data in the proper vector of uploading and database can also be contrasted, thereby the bank note that almost can mix the spurious with the genuine to some further be differentiated.Simultaneously database is by methods such as neural network, machine learning, and unceasing study counterfeit money feature, classifies to counterfeit money, sets up associated between all kinds of counterfeit moneys and known counterfeit money source.Then by the method for the data minings such as cluster, classification and correlation analysis, excavate the classification of counterfeit money under in database, and then the source of definite counterfeit money.Last anti-counterfeiting characteristic database turns back to inquiring client terminal by the counterfeit money result of tracing to the source of classifying.
Inquiring client terminal of the present invention comprises: inquiry mechanism can be divided into client active inquiry and anti-counterfeiting characteristic database regularly or irregularly returns to two kinds.The take the initiative client mode of inquiry of the money transaction site that is similar to automatic teller machine, according to financial utensil, obtain false distinguishing recognition result and characteristic of correspondence vector, initiatively to anti-counterfeiting characteristic database, send information inquiry application, see if there is similar counterfeit money false distinguishing proper vector or different with genuine note proper vector, carry out Classification and Identification; Can also setting data storehouse irregularly to relevant release mechanism, return to the corresponding relation in counterfeit money type and counterfeit money source, anti-counterfeiting characteristic database can be added up the circulation chain of its correspondence when finding that the similar counterfeit money of a certain category feature vector frequently occurs, by means such as data minings, determine behind counterfeit money source, in time information is fed back to financial security mechanism, for the pseudo-forge money crime of follow-up strike is provided fundamental basis and search route.
The orientation of anti-counterfeiting characteristic database and source tracing method can further be set to: the anti-counterfeiting characteristic vector standardization by each client upload to database hub, so that the information of carrying out integration.Because different financial machine and tool may belong to different brands, it carries out guiding against false of paper currency mirror method for distinguishing and is also not quite similar, and therefore the present invention requires to set up a kind of standardized form and uploads for proper vector and circulation information.
The orientation of anti-counterfeiting characteristic database and source tracing method also need to be further set to: upload client and be provided with supervision unit, comprise artificial and machine, each client upload is supervised to the information of database hub, prevent artificial or unexpected abnormal data and come the normal identifying processing at center, interfering data storehouse.
Orientation and the source tracing method of this anti-counterfeiting characteristic database are further set to: the data to database hub are done security protection, guarantee that the information of database hub can not invaded and utilize by undue profits tissue, guarantee integrality and the security of data.
The present invention is based on the anti-counterfeiting characteristic database that the identification proper vector of counterfeit money and circulation information set up counterfeit money is carried out false distinguishing and traced to the source, can be simultaneously for different bank provides the standardized false proof data, services of tracing to the source.The cash that deposits in and take out in bank all will, through false proof discriminating and by corresponding information typing anti-counterfeiting characteristic database, make the ins and outs of every transaction all clear.And by anti-counterfeiting characteristic database and with each bank and site between communicate by letter and carry out information interaction, can carry out better counterfeit money identification and location, fraud source, when improving false distinguishing ability, effectively hit fraud force, and to its diffusion with the stretch containment and the threat that provide strong, the phenomenon of faking is greatly reduced.Application of the present invention can be contained from source manufacture and the diffusion of counterfeit money, reduces property loss, safeguards the safe order of finance, money market.
The present invention in actual use method is simple, is suitable for the links of cash circulation chain, can to database, carry out information inquiry, renewal and maintenance at any time, effectively identifies counterfeit money and it is traced to the source.
Advantage of the present invention is:
1. anti-counterfeiting characteristic database has been stored the proper vector of the false distinguishing characteristic informations such as the legal bank note of various denominations and the image of various version counterfeit money, optics and serial number, and with the circulation information of the corresponding bank note of proper vector.Anti-counterfeit recognition ability is strong.
2. upload client and be provided with supervision unit, effectively prevent that the information that flows to anti-counterfeiting characteristic database from being disturbed by artificial or unexpected abnormal data.
3. security protection unit guarantees the information of anti-counterfeiting characteristic database and integrality, the security of data.
4. effectively counterfeit money is traced to the source.
Accompanying drawing explanation
Fig. 1 is systematic schematic diagram of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described.
As shown in Figure 1, the present invention carries out false distinguishing and traces to the source counterfeit money based on identifying the proper vector of counterfeit money and the anti-counterfeiting characteristic database of circulation information foundation.Client, inquiring client terminal and an anti-counterfeiting characteristic database are uploaded in the present embodiment setting, and three carries out data transmission and information interaction by internet.
First data upload client is set, by financial machine and tool, as cleaning-sorting machine, currency counting and detecting machine etc., bank note is carried out to false distinguishing identification.The false distinguishing characteristic informations such as various images relevant to recognition result after processing, optics and serial number characteristic information are integrated also, the particularly various abnormal false distinguishing feature of counterfeit money, according to standardized form generating feature vector, again this characteristic vector data and circulation information are uploaded to anti-counterfeiting characteristic database, upload client and be provided with supervision unit.
An anti-counterfeiting characteristic database is set, and the primary data in database derives from different data upload clients, the i.e. foundation in original date storehouse.Then database is by methods such as neural network, machine learning, and unceasing study counterfeit money feature, classifies to counterfeit money; And set up associated between all kinds of counterfeit moneys and known counterfeit money source.Then by the method for the data minings such as cluster, classification and correlation analysis, excavate the classification of counterfeit money under in database, and then the source of definite counterfeit money.When receiving the inquiry request of sending from inquiring client terminal, the data in inquiry searching database, the corresponding classification obtaining after return data contrast, the result of tracing to the source are to inquiring client terminal.Anti-counterfeiting characteristic database is when detecting that the similar counterfeit money of a certain category feature vector frequently occurs simultaneously, add up the circulation chain of its correspondence, by means such as data minings, determine counterfeit money source, in time information is fed back to financial security center, for counterfeit money source situation, be further processed.
Inquiring client terminal is set, when by existing false distinguishing means identification bank note, if existing recognition result is had objection and has unknown false proof point, initiatively to anti-counterfeiting characteristic database, send application request, the false distinguishing recognition result simultaneously financial utensil processing being obtained and characteristic of correspondence vector also send to anti-counterfeiting characteristic database to classify for Data Comparison, see if there is similar counterfeit money false distinguishing proper vector or different with genuine note proper vector, thereby carry out false distinguishing.
Above-described embodiment is only preference of the present invention, is not used for limiting the present invention, and all within principle of the present invention, any modifications and variations of doing, all within protection scope of the present invention.
Claims (6)
1. guiding against false of paper currency property data base is differentiated a method for counterfeit money, and step is:
(1) data upload client is set, by financial machine and tool, bank note is carried out to false distinguishing identification; By various images, optical signature, the serial number characteristic information of identification, according to standardized form generating feature vector;
(2) this characteristic vector data and information are uploaded to anti-counterfeiting characteristic database;
(3) anti-counterfeiting characteristic database, by neural network, machine learning method, is classified to counterfeit money, sets up associated between all kinds of counterfeit moneys and known counterfeit money;
(4) anti-counterfeiting characteristic database receives the inquiry request sending from inquiring client terminal, inquires about and retrieve the data in anti-counterfeiting characteristic database, after contrast, classification results is transported to inquiring client terminal;
(5) anti-counterfeiting characteristic database, by the counterfeit money proper vector frequently occurring, is added up its circulation chain, determines counterfeit money source, information is fed back to security centre and process.
2. guiding against false of paper currency property data base according to claim 1 is differentiated the method for counterfeit money, it is characterized in that: described inquiring client terminal, anti-counterfeiting characteristic database, upload between client, by internet, communicate.
3. guiding against false of paper currency property data base according to claim 1 is differentiated the method for counterfeit money, it is characterized in that: the described financial machine and tool of step (1) comprises cleaning-sorting machine, currency counting and detecting machine, automatic teller machine.
4. guiding against false of paper currency property data base according to claim 1 is differentiated the method for counterfeit money, it is characterized in that: the bank note that step (1) is described, comprises the legal bank note of various denominations and the counterfeit money of various version.
5. guiding against false of paper currency property data base according to claim 1 is differentiated the method for counterfeit money, it is characterized in that: upload client and be provided with supervision unit.
6. guiding against false of paper currency property data base according to claim 1 is differentiated the method for counterfeit money, it is characterized in that: anti-counterfeiting characteristic database is provided with security protection unit.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104008605A (en) * | 2014-05-04 | 2014-08-27 | 昆山古鳌电子机械有限公司 | Automatic transaction device with functions of identifying note codes and preventing secret filming of input keys |
| CN104077833A (en) * | 2014-07-07 | 2014-10-01 | 魏伟 | Paper money information collection method and system |
| CN104851068A (en) * | 2015-04-30 | 2015-08-19 | 温州市质量技术监督检测院 | Counterfeit currency authentication and management system |
| CN105898010A (en) * | 2015-02-13 | 2016-08-24 | 海南拍拍看网络科技有限公司 | Mobile phone bank note examination method, mobile phone device and server |
| CN106407299A (en) * | 2016-08-31 | 2017-02-15 | 东方通信股份有限公司 | Banknote crown word number blacklist data storage and retrieval methods supporting wildcard characters |
| CN106960500A (en) * | 2017-04-06 | 2017-07-18 | 深圳怡化电脑股份有限公司 | A kind of method, terminal device, server and system examined for security credence |
| CN107169570A (en) * | 2017-06-16 | 2017-09-15 | 广州市银科电子有限公司 | A kind of part differentiates expert system with the bill anti-counterfeit under microscope modes |
| CN107657711A (en) * | 2017-03-10 | 2018-02-02 | 沈阳中钞信达金融设备有限公司 | Banknote or bill source Antiforge system and source method for anti-counterfeit |
| CN108038957A (en) * | 2017-12-01 | 2018-05-15 | 深圳怡化电脑股份有限公司 | A kind of currency detecting system and method |
| CN109360324A (en) * | 2018-09-26 | 2019-02-19 | 深圳怡化电脑股份有限公司 | Banknote detection method, banknote tester, finance device and computer readable storage medium |
| CN111369732A (en) * | 2020-04-07 | 2020-07-03 | 深圳市札记网络科技有限公司 | Counterfeit money identification method based on block chain and SDN |
| CN111833511A (en) * | 2020-06-09 | 2020-10-27 | 武汉卓目科技有限公司 | Method and device for improving identification rate of prefix number based on multi-channel synthesis technology |
| CN112949705A (en) * | 2021-02-24 | 2021-06-11 | 北京慧辰资道资讯股份有限公司 | Counterfeit currency circulation analysis method and device based on big data |
| CN113096300A (en) * | 2021-04-02 | 2021-07-09 | 陈继宣 | Currency detector capability detection method |
| CN114821888A (en) * | 2022-05-06 | 2022-07-29 | 广州中智融通金融科技有限公司 | Counterfeit money management method, system, electronic device and readable medium |
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| CN104008605A (en) * | 2014-05-04 | 2014-08-27 | 昆山古鳌电子机械有限公司 | Automatic transaction device with functions of identifying note codes and preventing secret filming of input keys |
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| CN105898010A (en) * | 2015-02-13 | 2016-08-24 | 海南拍拍看网络科技有限公司 | Mobile phone bank note examination method, mobile phone device and server |
| CN104851068A (en) * | 2015-04-30 | 2015-08-19 | 温州市质量技术监督检测院 | Counterfeit currency authentication and management system |
| CN106407299A (en) * | 2016-08-31 | 2017-02-15 | 东方通信股份有限公司 | Banknote crown word number blacklist data storage and retrieval methods supporting wildcard characters |
| CN107657711A (en) * | 2017-03-10 | 2018-02-02 | 沈阳中钞信达金融设备有限公司 | Banknote or bill source Antiforge system and source method for anti-counterfeit |
| CN106960500A (en) * | 2017-04-06 | 2017-07-18 | 深圳怡化电脑股份有限公司 | A kind of method, terminal device, server and system examined for security credence |
| CN107169570A (en) * | 2017-06-16 | 2017-09-15 | 广州市银科电子有限公司 | A kind of part differentiates expert system with the bill anti-counterfeit under microscope modes |
| CN108038957A (en) * | 2017-12-01 | 2018-05-15 | 深圳怡化电脑股份有限公司 | A kind of currency detecting system and method |
| CN109360324A (en) * | 2018-09-26 | 2019-02-19 | 深圳怡化电脑股份有限公司 | Banknote detection method, banknote tester, finance device and computer readable storage medium |
| CN111369732A (en) * | 2020-04-07 | 2020-07-03 | 深圳市札记网络科技有限公司 | Counterfeit money identification method based on block chain and SDN |
| CN111833511A (en) * | 2020-06-09 | 2020-10-27 | 武汉卓目科技有限公司 | Method and device for improving identification rate of prefix number based on multi-channel synthesis technology |
| CN112949705A (en) * | 2021-02-24 | 2021-06-11 | 北京慧辰资道资讯股份有限公司 | Counterfeit currency circulation analysis method and device based on big data |
| CN113096300A (en) * | 2021-04-02 | 2021-07-09 | 陈继宣 | Currency detector capability detection method |
| CN114821888A (en) * | 2022-05-06 | 2022-07-29 | 广州中智融通金融科技有限公司 | Counterfeit money management method, system, electronic device and readable medium |
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Application publication date: 20140430 |