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A method and device for detecting counterfeit banknotes

A technology for banknotes and counterfeit detection, applied in the field of image processing, can solve the problems of high complexity, increased algorithm development cycle, inability to meet real-time banknote detection, etc., and achieve the effect of simplifying the counterfeiting process and shortening the time of banknote detection.

Active Publication Date: 2019-10-11
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The disadvantages of using this method of authenticating counterfeit are: (1) using infrared transmission diagrams and infrared reflection diagrams, a large amount of data interaction is required in a DSP (Digital Signal Processing, digital signal processing) environment, and the calculation time is long and the complexity is high , unable to meet the needs of real-time currency inspection; (2) using the SVM classifier requires a large number of samples for training. When developing new currencies, especially foreign currency development, it is impossible to complete the development of new currencies in a short time, increasing Algorithm Development Cycle

Method used

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  • A method and device for detecting counterfeit banknotes
  • A method and device for detecting counterfeit banknotes
  • A method and device for detecting counterfeit banknotes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] figure 1 It is a schematic flowchart of a banknote authenticating method provided by Embodiment 1 of the present invention. This method can be applicable to the situation of banknote counterfeiting, and this method can be carried out by banknote counterfeiting device, and this device can be made up of hardware and / or software, and generally can be integrated in ATM (Automated Teller Machine, automatic teller machine), banknote checking machine And all the detection machines that have banknote authentication function. Specifically include the following:

[0070] S110, intercepting an image of the zebra crossing area in the infrared transmission image of the banknote to be tested.

[0071] Wherein, the banknote to be tested is a banknote with a zebra crossing anti-counterfeit mark, for example, a 2005 version of RMB with a denomination of 100 yuan. Optionally, the image of the zebra crossing area can be intercepted according to the version, orientation, currency value ...

Embodiment 2

[0084] figure 2 It is a schematic flowchart of a banknote authenticating method provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments, and provides a preferred banknote authentication method, specifically, before removing the security line included in the zebra crossing area image and forming the initial zebra crossing image, it is further optimized to further include: generating and zebra crossing A histogram corresponding to the area image, and determining the number of gray levels included in the histogram; if the number of gray levels does not reach the preset layer number threshold, it is determined that the banknote to be tested is a counterfeit.

[0085] S210, intercepting an image of the zebra crossing area in the infrared transmission image of the banknote to be tested.

[0086] S220. Generate a histogram corresponding to the image of the zebra crossing area, and determine the number of gray l...

Embodiment 3

[0097] image 3 It is a schematic flowchart of a banknote authenticating method provided by Embodiment 3 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments, and provides a preferred banknote authentication method. Specifically, before performing binarization processing on the initial zebra crossing image, it is further optimized to further include: generating a banknote corresponding to the initial zebra crossing image histogram, and determine the number of gray levels included in the histogram; if the number of gray levels does not reach the preset layer number threshold, it is determined that the banknote to be tested is a counterfeit banknote.

[0098] S310, intercepting the image of the zebra crossing area in the infrared transmission image of the banknote to be tested.

[0099] S320. Remove safety lines included in the image of the zebra crossing area to form an initial zebra crossing image.

[0100] S330. Generate a h...

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Abstract

The invention discloses a paper money authentic identification method and a device. The method comprises the following steps: intercepting a zebra crossing area image in an infrared transmission picture of the paper money to be detected; removing a safety line contained in the zebra crossing area image, and forming an initial zebra crossing image; executing the binarization processing to the initial zebra crossing image, and marking at least one connected region in the image after the binarization processing; and according to the geometrical characteristic of at least one connected region, determining the true and false of the paper money to be detected. Through the technical solution, the method is capable of realizing the real-time counterfeit currency detection, shortening the time of the counterfeit currency detection, and simplifying the effect of the authentic identification process.

Description

technical field [0001] Embodiments of the present invention relate to image processing technology, and in particular to a banknote authenticating method and device. Background technique [0002] Paper money is a mandatory value symbol issued by the country (or some regions) instead of metal currency to execute the means of circulation. With the continuous improvement of paper money anti-counterfeiting technology in various countries, more and more paper money uses zebra crossings as an anti-counterfeiting feature. , Banknote identification technology for zebra crossings has gradually developed. [0003] A banknote authentication method based on zebra crossing is currently used: using infrared transmission and infrared reflection images for addition; extracting HOG (Histogram of Oriented Gradient, histogram of directional gradient) features on the combined image, using SVM (Support Vector Machine , support vector machine) classifier to classify the features to identify the a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07D7/20G07D7/12
Inventor 曹婧蕾
Owner SHENZHEN YIHUA COMP