Method for recognizing batch two-dimension code images

An image recognition and two-dimensional code technology, applied in the field of two-dimensional codes, can solve the problems of high energy, low efficiency, and long time, and achieve the effect of low position requirements, simple recognition methods, and improved work efficiency

Active Publication Date: 2014-07-30
广州回我信息科技有限公司
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AI Technical Summary

Problems solved by technology

Today's commonly used QR code recognition technology only recognizes one QR code image at a time, which makes it take a long time and a lot of energy in the process similar to the above two applications, and the efficiency is very low

Method used

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  • Method for recognizing batch two-dimension code images

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Embodiment Construction

[0033] Such as figure 1 As shown, the present invention discloses a batch two-dimensional code image recognition method, which is used to extract more than one two-dimensional code image in the same image on PCs, embedded devices, or smart mobile terminals such as smart phones and tablet computers. detection, including the following timing steps:

[0034] Step 1: Obtain an image to be inspected containing multiple QR code image scenes, and the image to be inspected can be a video screen image or a static picture.

[0035] Step 2: weaken or remove the background of the image to be checked, and obtain a binarized image (that is, the image only contains points with a gray value of 0 and a gray value of 255). The process is: a. convert the image to be checked into a grayscale image; b. set the threshold, set the grayscale value of the point whose grayscale value is less than the threshold value to 0, and set the grayscale value of the point whose grayscale value is greater than t...

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Abstract

The invention discloses a method for recognizing batch two-dimension code images. The method is used for carrying out extracting detection on one or more two-dimension code images in the same image and comprises the following sequential steps that a, a to-be-detected image including a plurality of two-dimension code image scenes is acquired; b, the background of the image to be detected is weakened or removed, and a binary image is acquired; c, the binary image is detected, and all feather points are acquired; d, the feature points are clustered, a plurality of feature point groups are acquired, the clustering radius and the clustering center of each feature point group are acquired, and each feature point group is a two-dimension code image; e, the feature point groups are split one by one, and a plurality of independent two-dimension code images are acquired; f, the two-dimension code images are recognized, integrity is verified, and two-dimension code information is acquired. The method has the advantages that the two-dimension code images in one image can be recognized at the same time, and the method is suitable for the application occasion of large-batch two-dimension code recognition.

Description

[0001] technical field [0002] The invention relates to the technical field of two-dimensional codes, in particular to a method for identifying multiple two-dimensional code images in the same image at one time. [0003] Background technique [0004] Each QR code pattern must be image-recognized before it is printed on the product to ensure its effectiveness; the QR code image technology is now also used to check goods in shopping malls and supermarkets. The above examples all require operators to use special equipment to recognize and register all the two-dimensional code images, so the workload is very huge. The commonly used QR code recognition technology today only recognizes one QR code image at a time, which makes the process similar to the above two applications take a long time and a lot of energy, and the efficiency is very low. [0005] Contents of the invention [0006] The task of the present invention is to address the above technical problems and propose ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K7/10
Inventor 江林修
Owner 广州回我信息科技有限公司
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