Method and device for extracting image boundary of banknotes

A technology of boundary extraction and banknote image, which is applied in the inspection of the authenticity of banknotes, processing coins or valuable banknotes, instruments, etc. It can solve the problems of edge extraction accuracy decline and extraction failure, and achieve the effect of improving accuracy.

Inactive Publication Date: 2020-06-09
SHENZHEN YIHUA COMP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing edge extraction methods can basically extract accurately when the background is simple, but once it involves a specific situation or the background is more complex, the accuracy of edge extraction will drop significantly, and even lead to extraction failure

Method used

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  • Method and device for extracting image boundary of banknotes
  • Method and device for extracting image boundary of banknotes
  • Method and device for extracting image boundary of banknotes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Figure 1a It is a flow chart of the banknote image boundary extraction method provided by Embodiment 1 of the present invention. This embodiment can be applied to the situation of recognizing images based on banknote image boundary extraction. This method can be obtained by the banknote image boundary provided by the embodiment of the present invention The extracting device can be implemented by means of software and / or hardware, and can be integrated into the financial transaction equipment.

[0043] Such as Figure 1a As shown, the image boundary extraction method of the banknote includes:

[0044] S110. Acquire a grayscale image of a target area in the banknote image to be recognized, wherein the target area includes at least one denomination candidate area.

[0045] Among them, the grayscale image is a monochrome image with a 256-level grayscale color gamut or level from black to white. The grayscale level of black is the lowest, which is 0, and the grayscale level...

Embodiment 2

[0061] figure 2 It is a flow chart of the banknote image boundary extraction method provided by Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, after extracting the image boundaries of all denomination numbers according to the determined denomination number boundary points, it is also added to determine the banknote denominations corresponding to all the denomination numbers according to the extracted image boundaries.

[0062] Such as figure 2 As shown, the image boundary extraction method of the banknote includes:

[0063] S210. Acquire a grayscale image of a target area in the banknote image to be recognized, wherein the target area includes at least one denomination candidate area.

[0064] S220. Convert the grayscale image into a binary image, and divide at least one denomination number area in the binary image according to a preset partition rule.

[0065] S230. For each denomination number area, scan accor...

Embodiment 3

[0071] Figure 3a It is a flow chart of the banknote image boundary extraction method provided by Embodiment 3 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, after extracting the image boundaries of all denomination numbers according to the determined denomination number boundary points, it also provides the location information of the denomination candidate area where the extracted image boundaries are located; according to the The position information determines the orientation of the banknote to be identified.

[0072] Such as Figure 3a As shown, the image boundary extraction method of the banknote includes:

[0073] S310. Acquire a grayscale image of a target area in the banknote image to be recognized, where the target area includes at least one denomination candidate area.

[0074] S320. Convert the grayscale image into a binarized image, and divide at least one denomination number area in the binarized image according ...

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Abstract

The embodiments of the invention disclose a paper note image boundary extracting method and apparatus. The method includes the following steps: acquiring the gray scale map of a target region in a to-be-recognized paper note image, wherein the target image includes at least one denomination candidate region; converting the gray scale map to a binary image, and in accordance with a preset zoning rule, zoning at least one denomination number region in the binary image; for each denomination number region, in accordance with a preset direction, performing scanning, determining that the point which appears first in the preset direction and also meets preset denomination number boundary features as a denomination number boundary point; and based on the determined denomination number boundary point, extracting the image boundaries of all denomination numbers. According to the embodiments of the invention, the technical solution can increase the effects of accuracy in extracting the boundaryof the denomination image in the paper note recognition process.

Description

technical field [0001] The embodiment of the present invention relates to banknote identification technology, and in particular to a banknote image boundary extraction method and device. Background technique [0002] Today, as the economy is developing day by day, the daily cash transaction volume has increased sharply. How to quickly and accurately identify banknotes has become an urgent problem to be solved in the field of banknote identification technology. [0003] Image edge (boundary) extraction is an important link in banknote recognition technology. Important information of banknotes, such as the denomination of banknotes, can be obtained by extracting specific image edges in banknotes. The edge of the image, that is, the place where the grayscale change rate of the image is the largest (the place where the grayscale value of the image changes most drastically). Edge extraction is to preserve the areas where the grayscale of the image changes drastically. Most of t...

Claims

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Application Information

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