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Preprocessing method for distorted image of QR (Quick Response) code

A QR code and preprocessing technology, which is applied in the field of preprocessing of QR code distorted images, can solve the problems of unrecognizable and distorted image two-dimensional code recognition rate, etc., and achieve the effect of accurate recognition

Inactive Publication Date: 2014-02-19
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the two-dimensional code images under normal circumstances can be recognized very well, but the recognition rate of the two-dimensional codes printed on items that are prone to wrinkles on the surface is very low or can't recognize it at all

Method used

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  • Preprocessing method for distorted image of QR (Quick Response) code
  • Preprocessing method for distorted image of QR (Quick Response) code
  • Preprocessing method for distorted image of QR (Quick Response) code

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Embodiment one, as figure 1 Shown, a kind of preprocessing method of QR code distorted image is carried out according to the following steps:

[0027] Step 1: Perform Hough transform processing on the QR code image, find out the boundary contour of the image, and obtain the coordinates of the four vertices of the image through the intersection points of the contours.

[0028] Step 2: selecting sample points of the normal image of the QR code, and selecting sample points corresponding to the positions of the normal image of the QR code in the distorted image of the QR code.

[0029] Said selecting the sample point of the normal image of the QR code, selecting the sample point corresponding to the normal image position of the QR code at the distorted image of the QR code is carried out according to the following steps:

[0030] A1, find four vertices in the QR code image as the first sample point;

[0031] A2, take the four sample points obtained in step A1 as vertices ...

Embodiment 2

[0053] Embodiment 2: The flow process of this embodiment is basically the same as Embodiment 1, the difference is: after the function transformation described in step 4, all pixel values ​​in the QR code distorted image are filled into white; then the original QR code is distorted The pixel value of each sample point of the image is assigned to the filled QR code distorted image.

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Abstract

The invention discloses a preprocessing method for a distorted image of a QR code, belonging to the field of image processing. The method comprises that sample points of a normal image of the QR code are used as input values in the learning process of neural network, sample points of the distorted image of the QR code are used as output values in the learning process of the neural network, and the BP (Back Propagation) neural network is learned; a distortion function is fitted; and an image of the target QR code is determined via bilinear interpolation after function exchange. The QR code with severe distortion or image loss can be well identified via the method, and especially the QR code with low identification rate or the QR code incapable of being identified, which is printed in an article whose surface is easy to wrinkle, can be more accurately identified via the method. The identification rate of the QR code image is improved under the special condition, and an increase in the identification rate broadens the application range of the QR code to a large extent; and the thus, the method of the invention can popularize application of the QR code in a wider range.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a preprocessing method for distorted images of QR codes. Background technique [0002] As an excellent two-dimensional code, the QR code is usually tens to hundreds of times denser than a one-dimensional barcode, which means that the QR code can express more information in a limited space, so that we can Store product information all in one QR code. If you want to view product information, you don't need to build a database in advance, and you can truly realize the description of "items" with barcodes. In view of such advantages, it is conceivable that the application of QR codes in trademarks must be the general trend of development. In the prior art, the two-dimensional code image under normal circumstances can be recognized very well, but the recognition rate of the two-dimensional code is very low for those with severe distortion or part of the image missing, especially the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32
Inventor 张敏刘川高建贵余圣波
Owner CHONGQING UNIV
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