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A QR code rapid positioning method based on texture characteristics

A positioning method, QR code technology, applied in the field of QR code positioning, to achieve good adaptability

Active Publication Date: 2019-03-01
BEIJING LUSTER LIGHTTECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of this application is to provide a fast positioning method for QR codes based on texture characteristics, so as to solve the problem that the existing technology cannot automatically, quickly and accurately locate QR codes

Method used

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  • A QR code rapid positioning method based on texture characteristics
  • A QR code rapid positioning method based on texture characteristics
  • A QR code rapid positioning method based on texture characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] like figure 1 Shown is a flow chart of a QR code fast positioning method based on texture characteristics, the method comprising:

[0079] S100. Determine the imaging quality of the image;

[0080] Specifically, to locate a QR code in an image, it is first necessary to determine the imaging quality of the image. Since the application environment of the QR code is diverse and the scene is complex, it is necessary to judge whether the image needs to be preprocessed, and the preprocessing includes denoising and downscaling. sampling. figure 2 It is the image in the embodiment of this application.

[0081] There are many mature algorithms in the prior art for denoising, and mean filter and median filter can be used for denoising. Downsampling can be performed by reducing the amount of image data to one-half, and can be one of nearest neighbor interpolation, bilinear interpolation, mean interpolation and median interpolation.

[0082] Denoising can remove noise points a...

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PUM

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Abstract

The invention discloses a QR code rapid positioning method based on texture characteristics. The method comprises the steps that S100, the imaging quality of an image is determined; S200, partitioningthe image according to the imaging quality to obtain a plurality of sub-images; S300, screening out candidate areas from the plurality of sub-images; S400, using the candidate region to obtain a growth region; S500, obtaining an affine rectangle according to the growth region; and S600, positioning the QR code according to the affine rectangle. The QR code has a stronger edge gradient amplitude and two approximately orthogonal main directions, and the QR code region and the non-QR code region can be distinguished by utilizing the property. The QR code can be automatically, quickly and accurately positioned, and meanwhile, the method has good adaptability to various complex use environments.

Description

technical field [0001] The present application relates to the technical field of QR code positioning, in particular to a fast positioning method of QR code based on texture characteristics. Background technique [0002] The "QR" of the QR code is an abbreviation of Quick Response. The QR codes are fast to read and can store much richer information than previous barcodes, including encryption of text, URLs and other types of data. [0003] QR code recognition is an important application in machine vision. Before the signal extraction and decoding of the QR code, it is necessary to first locate the area where the QR code is located in the image. The application environment of QR code is diverse and the site is complex. Many application fields put forward high requirements for the accuracy of positioning. [0004] However, traditional methods are difficult to identify QR automatically, quickly, accurately, and adaptable to the application environment. [0005] Therefore, dev...

Claims

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Application Information

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IPC IPC(8): G06K7/14G06K9/32G06K9/46
CPCG06K7/1443G06V10/255G06V10/44
Inventor 康三顺姚毅胡凯
Owner BEIJING LUSTER LIGHTTECH