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Robust method for extracting two-dimensional code area in image

A technology of area extraction and two-dimensional code, applied in the direction of electromagnetic radiation induction, etc., can solve the problems of reducing the speed of two-dimensional code recognition and taking time, and achieve the effect of good universal applicability, good robustness, and simple and fast method

Inactive Publication Date: 2011-11-23
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

Since this method needs to search the entire image, it takes a lot of time to detect in images with larger resolutions. In addition, the interference of complex backgrounds also makes detection significantly reduce the recognition speed of two-dimensional codes.

Method used

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  • Robust method for extracting two-dimensional code area in image
  • Robust method for extracting two-dimensional code area in image
  • Robust method for extracting two-dimensional code area in image

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Embodiment Construction

[0025] Embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0026] refer to figure 1 , the method steps of segmenting and extracting the two-dimensional code region in the image are as follows:

[0027] Step 1: Read the image containing the QR code and convert it into a 256-level grayscale image. and then build (eg figure 2 The image pyramid of the three image blocks shown in the lower middle) has a layer number setting range of 3 to 5 layers. The establishment method is to start from the original scale, use the kernel generated by the Gaussian function to filter, and then perform down-sampling every row and every column , to get the image of the previous layer;

[0028] Step 2: Block each layer image in the pyramid, and use the maximum inter-class variance method to binarize each block image according to the local gray level distribution information of each block image. The specific implementation step...

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Abstract

A robust method for extracting a two-dimensional code area in an image is disclosed, which comprises the following steps of: firstly, building a multi-scale Gaussian image pyramid according to an original image; secondly, partitioning each layer in the image pyramid; thirdly, binarizing all the image blocks, respectively, in order to obtain the binarization result of each layer of image; fourthly, fusing the binary images under a plurality of scales to obtain an image partition result; and finally, searching for the two-dimensional code area in unit of the image block and extracting the two-dimensional code area in the image by analyzing and calculating the convex hull of a characteristic point set through a connecting body. The method disclosed by the invention is capable of handling the common complex cases such as uneven illumination, background interference and the like, and has good robustness; as a search policy from coarse to fine under a plurality of scales is utilized, the method is simple and quick, and thereby is capable of taking both of the instantaneity and accuracy of handling into account.

Description

technical field [0001] The invention belongs to a computer digital image processing method, in particular to a method for accurately segmenting and extracting a two-dimensional code area in an image. Background technique [0002] A 2-dimensional barcode (2-dimensional barcode) refers to a barcode that expands on the basis of a one-dimensional barcode to make it readable in another dimension. The width of a one-dimensional barcode records data, but its length does not record data. Data is recorded in both the length and width of the two-dimensional barcode. Two-dimensional barcodes have "locating points" and "fault tolerance mechanisms" that one-dimensional barcodes do not have. The fault-tolerant mechanism can correctly restore the information on the barcode even if all the barcodes are not recognized or the barcode is defaced. Among the many types of two-dimensional barcodes, the commonly used code systems are: Data Matrix, QR Code, PDF417, Chinese Sensible Code, etc. T...

Claims

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Application Information

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IPC IPC(8): G06K7/10
Inventor 王俊峰高琳陈懿唐鹏杜涛
Owner SICHUAN UNIV
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