CN113096300A - Currency detector capability detection method - Google Patents

Currency detector capability detection method Download PDF

Info

Publication number
CN113096300A
CN113096300A CN202110361549.3A CN202110361549A CN113096300A CN 113096300 A CN113096300 A CN 113096300A CN 202110361549 A CN202110361549 A CN 202110361549A CN 113096300 A CN113096300 A CN 113096300A
Authority
CN
China
Prior art keywords
counterfeiting
feature
banknote
features
test
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110361549.3A
Other languages
Chinese (zh)
Inventor
陈继宣
吴杰
胡秀红
曹良佑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202110361549.3A priority Critical patent/CN113096300A/en
Publication of CN113096300A publication Critical patent/CN113096300A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content

Abstract

The invention discloses a currency detector capability detection method, which comprises the following steps: acquiring all anti-counterfeiting characteristics of a real paper currency, and establishing an anti-counterfeiting characteristic library corresponding to the real paper currency; setting different types of test coin sample sheets, wherein each type of test coin sample sheet only corresponds to one anti-counterfeiting characteristic abnormity or defect in the anti-counterfeiting characteristic library, and establishing a test coin sample sheet library according to all types of test coin sample sheets; testing the anti-counterfeiting feature identification capability of the currency detector by taking the test currency samples of different types to obtain the number of anti-counterfeiting features which can be identified by the currency detector; and grading the currency detectors according to the number of the identification and anti-counterfeiting features of the currency detectors.

Description

Currency detector capability detection method
Technical Field
The invention belongs to the technical field of currency detectors, and particularly relates to a currency detector capability detection method.
Background
With the development of national economy of China, various economic activities become frequent, the currency circulation of paper money on the market is increased continuously, the circulation period is shorter and shorter, and the paper money plays an important role in the life of people as main circulation currency. However, counterfeit money and genuine money follow each other and appear in various links in the field of circulation. The inundation of counterfeit money not only threatens the property safety of people, but also seriously interferes various links of currency circulation, causes disorder of national financial order, even reaches the political field, and leads to economic and social crisis.
In order to accurately identify the authenticity of the paper money, precise RMB identifier machines such as a currency detector, a currency detector and the like are required. However, the discriminating machines available on the market have various discriminating capabilities for paper money. At present, the detection method aiming at the identification capability of the RMB identifier in China mainly adopts the detection principle of 'false identification' according to the related standard of 'universal technical conditions of the RMB identifier' implemented in 2011. The detection technology of 'false identification and false identification' is based on the law characteristics of counterfeit money, and the RMB discriminator analyzes and discriminates the law characteristics of various counterfeit money, and 'number checking and seat entering' is carried out. When a new counterfeit currency appears on the world, the characteristics of the new counterfeit currency are researched and analyzed to summarize the regular characteristics of the counterfeit currency, and then a new discriminator is developed according to the regular characteristics of the counterfeit currency to discriminate the counterfeit currency, so that the counterfeit currency has certain hysteresis.
At present, the division and grading of the discriminating power of the RMB discriminating machine is classified by using the discriminating technical means of 'false discrimination' and the number of the discriminating technical means of 'false discrimination' which are totally possessed by the RMB discriminating machine.
Disclosure of Invention
In order to solve the problems, the accurate division of the identification capability of the RMB identification machine is realized.
Based on the above purpose, the invention provides a currency detector capability detection method, which comprises the following steps:
s1, acquiring all anti-counterfeiting features of a true banknote, and establishing an anti-counterfeiting feature library corresponding to the true banknote;
s2, setting different types of test coin samples, wherein each type of test coin sample only corresponds to one abnormal or missing anti-counterfeiting feature in the anti-counterfeiting feature library, and establishing a test coin sample library according to all types of test coin samples;
s3, testing the anti-counterfeiting feature identification capability of the currency detector by taking different types of test currency samples, and acquiring the number of anti-counterfeiting features which can be identified by the currency detector;
and S4, grading the currency detector according to the number of the identification and anti-counterfeiting features of the currency detector.
Preferably, the anti-counterfeiting features of all the genuine banknotes in the step S1 include: offset printing of miniature characters, fixing of portrait watermarks, complementary negative and positive offset printing of patterns, two-color special-shaped transverse numbers, optically variable ink denomination digits, white watermarks, hand-engraved head portraits, invisible denomination digits, concave-convex hand feeling lines, holographic magnetic windowing safety lines, ultraviolet image anti-counterfeiting features, infrared optical feature anti-counterfeiting features, infrared image anti-counterfeiting features, ultraviolet fluorescence anti-counterfeiting features, safety line magnetic anti-counterfeiting features and magnetic ink anti-counterfeiting features.
Preferably, the genuine banknotes are classified into layers according to the security features of all the genuine banknotes, and the difficulty of identifying the security features is used as a weight for the classification.
Preferably, the step S4 of rating the banknote validator further comprises referring to a hierarchy of security features that the banknote validator is capable of identifying.
Preferably, in step S3, when testing an anti-counterfeit feature, a plurality of test banknote samples corresponding to the anti-counterfeit feature are taken and mixed into a plurality of true banknotes to form a test sample, the test sample is put into the banknote validator for detection, if an alarm behavior occurs in the process of traversing the test sample by the banknote validator, the banknote validator is determined to have an identification capability for the anti-counterfeit feature, and after the anti-counterfeit feature tests of all categories are completed, the number of the anti-counterfeit features that can be identified by the banknote validator is counted.
Preferably, the step S3 further includes, when detecting a security feature by face-to-face sorting according to the banknotes put into the banknote validator, putting the test banknote samples into the banknote validator in different faces for respective detection, and if an alarm behavior can occur in all the faces, determining that the banknote validator has an ability to identify the security feature.
Preferably, the face-to-face classification includes classifying the positions of the braille on the banknotes into a braille face positive direction, a braille face negative direction, a braille face-free positive direction and a braille face-free negative direction.
Preferably, the step S2 further includes classifying all security features of the genuine banknote according to an authentication technique.
Preferably, the test banknote specimen sets the absence or the abnormality of the corresponding anti-counterfeiting feature according to the classification of the identification technology.
Preferably, the classification includes one of an ultraviolet image, a white light image, an infrared image, a multispectral image, an ultraviolet optical feature, an infrared optical feature, a fluorescence feature, a security thread feature, a magnetic image, a magnetic feature, a crown word number, and a pattern feature.
Compared with the prior art, the invention has the following benefits:
the method of 'true and false' identification is introduced to grade the RMB identification machine, the grade is not carried out according to the identification technology of the RMB identification machine, and the identification capability of the RMB identification machine is divided on the basis of the anti-counterfeiting characteristic of true paper money circulating in the market, so that the method has timeliness and accuracy.
Drawings
FIG. 1 is a flow chart illustrating an embodiment of a method for testing the capability of a banknote validator according to the present invention;
Detailed Description
The present invention will be described in detail with reference to the specific embodiments shown in the drawings, which are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the specific embodiments are included in the scope of the present invention.
As shown in fig. 1, a method for detecting the capability of a currency detector includes the following steps:
s1, acquiring all anti-counterfeiting features of a true banknote, and establishing an anti-counterfeiting feature library corresponding to the true banknote;
s2, setting different types of test coin samples, wherein each type of test coin sample only corresponds to one abnormal or missing anti-counterfeiting feature in the anti-counterfeiting feature library, and establishing a test coin sample library according to all types of test coin samples;
s3, testing the anti-counterfeiting feature identification capability of the currency detector by taking different types of test currency samples, and acquiring the number of anti-counterfeiting features which can be identified by the currency detector;
and S4, grading the currency detector according to the number of the identification and anti-counterfeiting features of the currency detector.
In step S3, when testing an anti-counterfeit feature, a plurality of test banknote samples corresponding to the anti-counterfeit feature are taken and mixed into a plurality of true banknotes to form a test sample, the test sample is put into the banknote validator for detection, if an alarm behavior occurs in the process of traversing the test sample by the banknote validator, the banknote validator is judged to have identification capability for the anti-counterfeit feature, and after the anti-counterfeit feature test of all categories is completed, the number of the anti-counterfeit features that can be identified by the banknote validator is counted.
According to putting into the paper currency of counterfeit money detector is towards the classification with the position of braille, divide into there being braille face positive direction, there being braille face negative direction, no braille face positive direction, no braille face negative direction, to an anti-fake characteristic when detecting, will test coin sample is put into with different orientation respectively detect in the counterfeit money detector, if all orientation can both appear the alarm behavior down, then judge the counterfeit money detector has the discernment ability to this anti-fake characteristic.
In this embodiment, the fifth set of 05-year edition 100 yuan RMB partial characteristics is taken as an example, and the genuine coin anti-counterfeiting characteristics can be divided into three lines. The anti-counterfeiting characteristics of the genuine coins are published to the society, so that the public can know and master the basic anti-counterfeiting information of the genuine coins. The anti-counterfeiting characteristic of the genuine money with more than two lines is not published to the society for safety.
In the step S4, the banknote validator may be rated according to the level of the security feature that can be identified by the banknote validator, that is, the banknote validator can identify the security feature as a first-line security feature or a second-line security feature, and may be further hierarchically divided among the first-line security feature and the second-line security feature, and the identification difficulty of the security feature compared with other security features in the first-line security feature or the second-line security feature is used as a weight of hierarchical division.
Because the anti-counterfeit characteristics of genuine coins with more than two lines are not published to the society for safety, the first-line anti-counterfeit characteristics of the fifth set of RMB 05 edition are taken as an example in the embodiment:
(1) offset printing of micro characters: offset micro characters are printed at a plurality of positions in the oval pattern above the front surface of the ticket surface, and characters of RMB and RMB100 can be seen under a magnifier;
(2) fixing portrait watermark: the head portrait watermark is positioned in the left blank of the front side of the ticket surface, is seen through in a light-on manner, and can be seen as the same as the portrait of the main scene and has strong stereoscopic impression;
(3) and (3) complementary printing of patterns: the middle of the left side of the front surface and the middle of the right side of the back surface of the ticket are both provided with a circular local pattern which is seen through light and light, and the local patterns on the front surface and the back surface can be seen and combined to form a complete ancient coin pattern;
(4) double-color special-shaped horizontal number: the left lower corner of the front surface is printed with a double-color special-shaped transverse number, the left part is dark red, the right part is black, and the characters are gradually reduced from the middle to the left and right sides;
(5) optically variable ink denomination number: the left lower part of the front surface of the ticket is in a '100' shape, the ticket is observed to be green when being vertical to the ticket surface, and the ticket is changed into blue when being inclined for a certain angle;
(6) white watermarking: the watermark is positioned below the double-color special-shaped transverse number on the front surface, and the watermark '100' with strong light transmission can be seen through light transmission;
(7) manually carving the head portrait: the main scene of the front face of the ticket face is a Mazedong head portrait, and a manual engraving intaglio printing process is adopted, so that the image is vivid, the spirit is passed, the concave-convex feeling is strong, and the recognition is easy;
(8) number of invisible denominations: a decorative pattern is arranged on the right upper part of the front surface, the bank note is arranged at a position which is approximately parallel to the eyes, and the bank note is inclined and shaken up and down facing the light source, so that the character of the denomination number of 100 can be seen;
(9) concave-convex hand feeling line: the right side of the main scene pattern on the front side is provided with a group of lines which are regularly arranged from top to bottom, and the lines are printed by adopting an engraving intaglio printing process and are touched by fingers, so that the lines have strong concave-convex feeling;
(10) holographic magnetic windowing safety line: the middle of the back is inclined to the right, a windowing safety line is arranged, a holographic pattern formed by miniature characters '100' can be seen in the windowing part, and the instrument detects magnetism.
Step S2, taking the anti-counterfeiting characteristics of all three lines on the genuine currency as an example, setting different types of test currency sample sheets, wherein each type only has abnormal or missing corresponding anti-counterfeiting characteristics, and all other anti-counterfeiting characteristics are completely reserved, and establishing a test currency sample sheet library; meanwhile, the anti-counterfeiting features are classified by the identification technology of the currency detector and can be divided into one of ultraviolet images, white light images, infrared images, multispectral images, ultraviolet optical features, infrared optical features, fluorescent features, safety line features, magnetic images, magnetic features, serial numbers and pattern features; each type of test sample currency can be provided with the abnormality or the deficiency of the corresponding anti-counterfeiting feature according to the classification of the identification technologies.
According to the anti-counterfeiting characteristics of the genuine paper currency circulating in the market, the test paper currency sample is arranged to check the capacity of the currency detector for identifying the anti-counterfeiting characteristics, so that the machine for identifying the RMB paper currency is graded, the identification capacity of the machine for identifying the RMB paper currency is divided, and the timeliness and the accuracy are achieved.
In the claims, the word "comprising" does not exclude other elements or steps; although certain features may be described in different dependent claims, this does not imply that these features cannot be used in combination. Various aspects of the present invention may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing and is therefore not limited in its application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. The steps of the methods disclosed herein are not limited to being performed in any particular order, as some or all of the steps may be performed in other orders. Any reference signs in the claims shall not be construed as limiting the scope of the claims.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.

Claims (10)

1. A currency detector capability detection method is characterized by comprising the following steps:
s1, acquiring all anti-counterfeiting features of a true banknote, and establishing an anti-counterfeiting feature library corresponding to the true banknote;
s2, setting different types of test coin samples, wherein each type of test coin sample only corresponds to one abnormal or missing anti-counterfeiting feature in the anti-counterfeiting feature library, and establishing a test coin sample library according to all types of test coin samples;
s3, testing the anti-counterfeiting feature identification capability of the currency detector by taking different types of test currency samples, and acquiring the number of anti-counterfeiting features which can be identified by the currency detector;
and S4, grading the currency detector according to the number of the identification and anti-counterfeiting features of the currency detector.
2. The method for testing the capability of a banknote validator as claimed in claim 1, wherein the whole anti-counterfeiting features of the true banknotes in the step S1 comprise: offset printing of miniature characters, fixing of portrait watermarks, complementary negative and positive offset printing of patterns, two-color special-shaped transverse numbers, optically variable ink denomination digits, white watermarks, hand-engraved head portraits, invisible denomination digits, concave-convex hand feeling lines, holographic magnetic windowing safety lines, ultraviolet image anti-counterfeiting features, infrared optical feature anti-counterfeiting features, infrared image anti-counterfeiting features, ultraviolet fluorescence anti-counterfeiting features, safety line magnetic anti-counterfeiting features and magnetic ink anti-counterfeiting features.
3. The method for detecting the capability of a banknote validator according to claim 2, wherein the banknote validator is hierarchically classified according to all security features of the genuine banknote, and the identification difficulty of the security features is used as a weight for hierarchical classification.
4. The method for detecting capabilities of a banknote validator as claimed in claim 3, wherein said step of rating said banknote validator in step S4 further comprises referring to a hierarchy of security features that can be identified by said banknote validator.
5. The method for detecting the capability of a banknote validator as claimed in claim 1, wherein in the step S3, when a counterfeit feature is tested, a plurality of test banknote samples corresponding to the counterfeit feature are taken and mixed into a plurality of true banknotes to form test samples, the test samples are put into the banknote validator for detection, if an alarm behavior occurs in the process that the banknote validator traverses the test samples, the banknote validator is determined to have the capability of identifying the counterfeit feature, and after the test of the counterfeit features of all categories is completed, the number of the counterfeit features that can be identified by the banknote validator is counted.
6. The method for detecting the capability of a banknote validator as claimed in claim 1, wherein said step S3 further comprises classifying banknotes inserted into said validator in different orientations, detecting a security feature by inserting said test banknote sample into said validator in different orientations, and determining that said validator has the capability of identifying said security feature if an alarm action can be performed in all orientations.
7. The method of detecting the capability of a bill validator according to claim 6, wherein said face-to-face classification includes classifying by the position of braille on a bill into a positive direction with a braille plane, a negative direction with a braille plane, a positive direction without a braille plane, and a negative direction without a braille plane.
8. The method for testing the capability of a banknote validator as claimed in claim 1, wherein said step S2 further comprises classifying all security features of said authentic banknote according to an authentication technique.
9. The method of testing the capabilities of a banknote validator as claimed in claim 8 wherein said test banknote specimen sets the absence or abnormality of corresponding security features according to the classification of the authentication technique.
10. The method of claim 8, wherein said classification includes one of a uv image, a white light image, an ir image, a multispectral image, a uv optical feature, an ir optical feature, a fluorescence feature, a security thread feature, a magnetic image, a magnetic feature, a crown word number, a pattern feature.
CN202110361549.3A 2021-04-02 2021-04-02 Currency detector capability detection method Pending CN113096300A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110361549.3A CN113096300A (en) 2021-04-02 2021-04-02 Currency detector capability detection method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110361549.3A CN113096300A (en) 2021-04-02 2021-04-02 Currency detector capability detection method

Publications (1)

Publication Number Publication Date
CN113096300A true CN113096300A (en) 2021-07-09

Family

ID=76673667

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110361549.3A Pending CN113096300A (en) 2021-04-02 2021-04-02 Currency detector capability detection method

Country Status (1)

Country Link
CN (1) CN113096300A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060131381A1 (en) * 2004-12-17 2006-06-22 Ncr Corporation Method of and system for prediction of the state of health of an apparatus
CN1971634A (en) * 2005-11-25 2007-05-30 温兴栋 Test paper for false-proof performance of cash register
CN103400438A (en) * 2013-06-22 2013-11-20 温州市质量技术监督检测院 Assembly method of currency examination performance testing system
CN103646458A (en) * 2013-12-23 2014-03-19 华中科技大学 Method for true and false identification of paper money through main component analysis
CN103761795A (en) * 2014-02-27 2014-04-30 华中科技大学 Method for identifying counterfeit money of paper money anti-counterfeit feature database
CN109598837A (en) * 2018-11-29 2019-04-09 深圳怡化电脑股份有限公司 The detection method of financial machine and tool and its distinguishing ability, system and detection service device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060131381A1 (en) * 2004-12-17 2006-06-22 Ncr Corporation Method of and system for prediction of the state of health of an apparatus
CN1971634A (en) * 2005-11-25 2007-05-30 温兴栋 Test paper for false-proof performance of cash register
CN103400438A (en) * 2013-06-22 2013-11-20 温州市质量技术监督检测院 Assembly method of currency examination performance testing system
CN103646458A (en) * 2013-12-23 2014-03-19 华中科技大学 Method for true and false identification of paper money through main component analysis
CN103761795A (en) * 2014-02-27 2014-04-30 华中科技大学 Method for identifying counterfeit money of paper money anti-counterfeit feature database
CN109598837A (en) * 2018-11-29 2019-04-09 深圳怡化电脑股份有限公司 The detection method of financial machine and tool and its distinguishing ability, system and detection service device

Similar Documents

Publication Publication Date Title
Mirza et al. Paper currency verification system based on characteristic extraction using image processing
CN108320373B (en) Method and device for detecting anti-counterfeiting mark of paper money
CN104574638A (en) Method for identifying RMB
CN106934915A (en) Bank note treatment device
CN1830691B (en) A financial instrument having indicia related to a security feature thereon
CN106683261B (en) A kind of false distinguishing method and apparatus of bank note
CN104835243A (en) Method for identifying authenticity of banknote based on banknote anti-counterfeiting point multiple-feature fusion
KR101076322B1 (en) Method for discriminating the authenticity of paper money by using a contact image sensor
CN106780953B (en) Paper money counterfeit distinguishing method and system based on double-crown-word number
CN105023339A (en) Currency detector capable of detecting currencies of multiple nations
Chae et al. A study on the Korean banknote recognition using RGB and UV information
CN102138165A (en) Classifying and discriminating an item of currency based on the item's spectral response
CN113096300A (en) Currency detector capability detection method
Halder et al. Analysis of fluorescent paper pulps for detecting counterfeit Indian paper money
CN113379961B (en) Method, device, equipment and storage medium for assisting identification of bank notes and tickets
CN1323020A (en) Apparatus and method for recognising paper currency for genuineness with infrared transmission array component
Kanwal et al. Spectral analysis of various security features in the Indian currency note of highest denomination using Video Spectral Comparator-40
CN205788435U (en) Banknote anti-counterfeiting detecting device
KR20110012912A (en) Apparatus and method for medium recognition
NR A Review on Fake currency detection using feature extraction
Babar et al. Counterfeit currency detector
CN101149847A (en) Verification method for determining areas within an image corresponding to monetary banknotes
CN108389309B (en) Method and system for identifying authenticity of paper money
Sarkar et al. Features of Indian paper currency and its validation
CN108154596B (en) Double-crown-number paper currency discrimination method based on image matching

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination