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Method and device for face-to-face identification of banknotes

An identification method and technology for banknotes, which are applied in character and pattern recognition, inspection of the authenticity of banknotes, processing coins or valuable banknotes, etc. Strong Execution, Improve Recognition Efficiency, Simplify Recognition Methods

Inactive Publication Date: 2019-04-26
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the neural network pattern recognition method requires a large number of sample tests, and it is difficult to achieve a 100% recognition rate.
This will make the recognition process relatively cumbersome, affect the speed and effect of recognition, and bring inconvenience to the recognition of banknotes

Method used

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  • Method and device for face-to-face identification of banknotes
  • Method and device for face-to-face identification of banknotes
  • Method and device for face-to-face identification of banknotes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] figure 1 It is a flow chart of a banknote face-to-face recognition method provided by Embodiment 1 of the present invention. The method of this embodiment can be executed by the banknote-oriented 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 1 As shown, the banknote-oriented identification method provided in this embodiment specifically includes the following steps:

[0060] Step S110, acquiring the grayscale image of the preset feature area of ​​the banknote to be tested.

[0061] Wherein, the banknote to be tested may be Iranian currency, or other currencies (such as RMB or Indonesian rupiah) with obvious color difference areas on the surface of the banknote. The preset characteristic area may be an area with obvious color difference on the surface of the banknote. Therefore, before acqu...

Embodiment 2

[0074] image 3 It is a flow chart of a banknote face-to-face recognition method provided by Embodiment 2 of the present invention. This embodiment refines the process of "obtaining the grayscale image of the preset feature region of the banknote to be tested" and the subsequent processes in the above embodiments. refer to image 3 , the embodiment of the present invention specifically includes the following steps:

[0075] Step S210, according to the orientation of the banknote to be tested determined by the first preset feature area and the second preset feature area, determine a third preset feature area and acquire a grayscale image of the third preset feature area.

[0076] Wherein, in the grayscale images corresponding to the third preset characteristic regions of different faces of the banknote to be tested, the number of pixels whose grayscale value is smaller than the preset grayscale value is different. Exemplarily, the preset gray value may be an empirical value ...

Embodiment 3

[0088] Figure 4 It is a flow chart of a banknote face-to-face recognition method provided by Embodiment 3 of the present invention. This embodiment refines the process before "calculating the third number of pixels in the third preset feature area" in the above embodiment. refer to Figure 4 , the embodiment of the present invention specifically includes the following steps:

[0089] Step S310, according to the orientation of the banknote to be tested determined by the first preset feature area and the second preset feature area, determine a third preset feature area and acquire a grayscale image of the third preset feature area.

[0090] Step S320, acquiring a grayscale image of the fourth preset feature area.

[0091] Wherein, the average gray value of the fourth preset feature area is consistent with the background gray value of the third preset feature area. Specifically, in the selection process of the fourth preset feature area, the background area in the third pres...

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Abstract

The invention discloses a banknote face direction identification method and device. The method includes obtaining a gray scale image of a preset feature region of a banknote to be detected; calculating a gray scale average value of the preset feature region; determining the number of target pixel points in the preset feature region according to the gray scale average value of the preset feature region; and identifying the face direction of the banknote to be detected according to the number of target pixel points in the preset feature region. Through adoption of the abovementioned technical scheme, identification of the face direction of the banknote to be detected can be realized, and the effects of simplifying an existing identification method and improving the banknote face direction identification efficiency are achieved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of banknote detection, and in particular to a method and device for identifying the orientation of banknotes. 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 identification device saves a lot of human resources and greatly improves the work efficiency. [0003] Banknote face-to-face recognition is the basic identification part of banknote verification, and the result of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G07D7/20
CPCG07D7/20G07D7/2016
Inventor 薛敏
Owner SHENZHEN YIHUA COMP
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