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Bank note version identification method and device

An identification method and technology for banknotes, which are used in the inspection of the authenticity of banknotes, character and pattern recognition, and processing coins or valuable banknotes, etc. The effect of reliability

Inactive Publication Date: 2017-06-09
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for banknotes with serious wear (such as old banknotes), the gray value of the image collected by the sensor is low. For example, for the old banknote of the old 50,000 Iranian currency, the average gray value of the above-mentioned comparative feature area is 39 , therefore, by setting a threshold of 50, it is not possible to classify the new version of 50,000 from the old version of 50,000
[0004] Therefore, the prior art is less reliable in identifying banknote versions

Method used

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  • Bank note version identification method and device

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Experimental program
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Embodiment 1

[0051] figure 2 It is a flow chart of a banknote version identification method provided by Embodiment 1 of the present invention. The method of this embodiment can be implemented by a banknote version identification device, wherein the device can be implemented by software and / or hardware, and generally can be integrated into financial equipment such as automatic ticket vending machines or banknote counters. Such as figure 2 As shown, the banknote version identification method provided in this embodiment specifically includes the following steps:

[0052] Step 110, acquiring the gray scale images of the comparison feature area and the threshold feature area of ​​the banknote to be tested.

[0053] Wherein, the banknote to be tested is preferably an Iranian currency with a currency value of 50,000, or other currencies (such as RMB or Indonesian rupiah) with obvious color difference areas on the surface of the banknote.

[0054] In the banknote identification process, the b...

Embodiment 2

[0066] Figure 6 It is a flow chart of an identification method for a 50,000 Iranian currency version provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the foregoing embodiments. refer to Figure 6 , the embodiment of the present invention specifically includes the following steps:

[0067] Step 210, acquiring the grayscale image of the banknote comparison feature area and the threshold feature area.

[0068] Step 220 , calculating the average gray level of the threshold feature region, and performing binarization on the compared feature area according to the average gray level to form a binarized feature area.

[0069] Step 230: Obtain a pixel with a pixel value of 0 in the binarized feature area as a feature pixel, and use the sum of the number of feature pixels as a feature attribute of the feature pixel.

[0070] Wherein, the feature attribute of the feature pixel mainly refers to: the sum of the numbers of all feature pixe...

Embodiment 3

[0077] Figure 7 A structural block diagram of a banknote version identification device provided by Embodiment 3 of the present invention. The device can be implemented by software and / or hardware, and can generally be integrated into financial equipment such as automatic ticket vending machines or banknote counters. Such as Figure 7 As shown, the device includes: a grayscale image acquisition module 310 , a binarized region determination module 320 and a version identification module 330 .

[0078]Wherein, the grayscale image acquisition module 310 is used to obtain the grayscale image of the banknote comparison characteristic region and the threshold characteristic region; the binarization region determination module 320 is used to calculate the grayscale average value of the threshold characteristic region, and Perform binarization on the comparison feature region according to the gray average value to form a binarized feature region; the version identification module 330...

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Abstract

The invention discloses a bank note version identification method and device; the method comprises the following steps: obtaining grey-scale images of a comparison characteristic area and a threshold characteristic area of a tested bank note; calculating the gray scale mean value of the threshold characteristic area, and binarizing the comparison characteristic area according to the gray scale mean value so as to form a binaryzation characteristic area; determining characteristic pixel points of the binaryzation characteristic area, and identifying the to-be-tested bank note version according to the characteristic attributes of the characteristic pixel points. The method can solve the error problems caused by a wearing bank note or sensor temperature in a bank note version identifying process, thus improving the bank note version identification accuracy, simplifying an existing identification algorithm, and improving bank note version identification efficiency.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of banknote detection, in particular to a method and device for identifying banknote versions. Background technique [0002] With the development of the economy, the circulation of banknotes is increasing, and intelligent unmanned toll collection systems based on banknote recognition technology have appeared in many industries. For example, banknote recognition technology is not only applied to automatic vending and ticket sales, but also to systems such as bank ATMs or automatic payment machines in business halls. At the same time, the invention of the banknote counter has also provided convenience for various industries. The application of the banknote version identification device saves a lot of human resources and greatly improves work efficiency. [0003] The identification of banknote version is the basic identification part of banknote verification, and the result of versio...

Claims

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Application Information

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IPC IPC(8): G07D7/206G06K9/46
CPCG06V10/507
Inventor 王晓琳
Owner SHENZHEN YIHUA COMP
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