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Preprocessing method for extracting banknote splicing mark, spliced banknote recognition method and device

A technology for preprocessing and splicing banknotes, which is applied in character and pattern recognition, computer components, calculations, etc., can solve the problems of undetected cracks, inaccurate edge extraction, and a large number of false detection edges to achieve enhanced accuracy and improved Correctness and efficiency, the effect of eliminating noise

Inactive Publication Date: 2015-07-29
SHENZHEN YIHUA COMP +2
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Problems solved by technology

[0002] When the existing edge detection method with a fixed edge strength threshold detects the stitching cracks of spliced ​​banknotes, there will be such a situation: if the edge strength threshold is set too small, a large number of false detection edges will appear; if the edge strength threshold is set too large, Some cracks may not be detected
Therefore, the edge extraction is not accurate enough, which seriously affects the recognition results and efficiency of spliced ​​banknotes
[0003] At the same time, the splicing cracks of spliced ​​banknotes are often vertical, and the width of the cracks on the UV image is not constant, but changes. The existing technology is not ideal for image edge extraction with varying widths.

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  • Preprocessing method for extracting banknote splicing mark, spliced banknote recognition method and device
  • Preprocessing method for extracting banknote splicing mark, spliced banknote recognition method and device
  • Preprocessing method for extracting banknote splicing mark, spliced banknote recognition method and device

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Embodiment approach

[0055] As an implementation manner, the currency verification device further includes a storage module 15 and a parameter calculation module 16 .

[0056] The storage module 15 stores a maximum edge strength threshold, a preset number of times and a fixed value.

[0057] The parameter calculation module 16 samples a plurality of sample images and performs edge strength calculation, the strongest edge strength obtained is set as the maximum edge strength threshold, and the weakest edge strength is set as the final current threshold, according to the final current threshold=maximum edge strength Threshold - set times * fixed value, combined with the set fixed value to calculate the preset times.

[0058] The edge iterative extraction module 14 includes a second target pixel identification processing sub-module 140 and an extension identification processing sub-module 141 .

[0059] The second target pixel recognition processing sub-module 140 is used to judge whether the absolu...

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Abstract

An embodiment of the invention provides a preprocessing method for extracting a banknote splicing mark, a spliced banknote recognition method and a device. The preprocessing method includes the steps: initial edge extraction: performing edge detection and extraction for a UV (ultraviolet) image of a banknote by taking a preset maximum edge intensity threshold as a current threshold; judgment: judging whether extraction frequency is equal to preset frequency or not; parameter transformation: subtracting a fixed value from a previous current threshold to serve as the current threshold, and adding one to the extraction frequency; iterative edge extraction: performing edge detection and extraction again for the UV image of the banknote after previous edge detection and extraction by the aid of the current threshold. By technological means of gradually extracting image edges by iteratively decreasing the threshold, edge extraction accuracy is greatly enhanced, spliced banknote recognition correctness and efficiency are improved, the preprocessing method is particularly applicable to vertical image edges with varied width or edge intensity, and noise is effectively recognized and eliminated.

Description

technical field [0001] The invention belongs to the technical field of banknote detection, and in particular relates to a preprocessing method for extracting splicing traces of banknotes, a method and a device for identifying spliced ​​banknotes. Background technique [0002] When the existing edge detection method with a fixed edge strength threshold detects the stitching cracks of spliced ​​banknotes, such a situation will occur: if the edge strength threshold is set too small, a large number of false detection edges will appear; if the edge strength threshold is set too large, Some cracks may not be detected. Therefore, the edge extraction is not accurate enough, which seriously affects the recognition result and efficiency of spliced ​​banknotes. [0003] At the same time, the splicing cracks of spliced ​​banknotes are often longitudinal, and the width of the cracks on the UV image is not constant, but changes. The existing technology is not ideal for image edge extract...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07D7/20
Inventor 黄勃
Owner SHENZHEN YIHUA COMP
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