Supercharge Your Innovation With Domain-Expert AI Agents!

Two-dimensional code detection and correction method in complex scene

A complex scene and correction method technology, which is applied in the field of two-dimensional code detection and correction, can solve the problems that key points cannot be accurately detected, achieve high practical value and promotion value, eliminate interference two-dimensional code areas, and prevent overfitting Effect

Pending Publication Date: 2020-08-11
成都艾视特信息技术有限公司
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it uses key points for detection, but it also has the problem that key points cannot be accurately detected

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Two-dimensional code detection and correction method in complex scene
  • Two-dimensional code detection and correction method in complex scene
  • Two-dimensional code detection and correction method in complex scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0044] Such as Figure 1 to Figure 3 As shown, this embodiment provides a two-dimensional code detection and correction system in a complex scene, which includes a two-dimensional code positioning module that uses local HOG features to locate the two-dimensional code image in a complex scene, and uses positioning points A two-dimensional code correction module that corrects any image area containing a two-dimensional code by the regression network model.

[0045] The detection and correction method of this embodiment is briefly described below:

[0046] Step 1: Obtain a large number of two-dimensional code images in natural scenes and payment scenes, use the existing two-dimensional code recognition algorithm to mark the position and three positioning points of the images, and manually mark the unrecognized images.

[0047] The second step: construct a cascaded classifier with local HOG features, the classifier includes 5 layers of weak classifiers, and the first layer contai...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a two-dimensional code detection and correction method in a complex scene, and mainly solves a problem that a conventional two-dimensional code recognition related algorithm fails in the complex scene. According to the algorithm, local HOG features are used for detecting the two-dimensional code in a complex scene in a cascading mode, and a convolutional neural network is used for further screening and regressing positioning points in the two-dimensional code so as to accurately position and correct the two-dimensional code. Through the algorithm, the scheme can be usedto quickly and accurately position and correct the two-dimensional code in the complex scene, and has very high practical value and promotional value in the fields with two-dimensional code recognition function requirements, such as mobile payment, industrial detection and robot two-dimensional code navigation.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a method for detecting and correcting two-dimensional codes in complex scenes. Background technique [0002] As the most common coding form in daily life, two-dimensional code is widely used in mobile payment, information acquisition, etc.; at present, conventional two-dimensional code recognition in the prior art adopts binarization processing to obtain the information in the image. The pattern information of the two-dimensional code, and then determine the locator of the two-dimensional code according to the pattern information of the two-dimensional code in the image, so as to realize the detection and positioning of the two-dimensional code. However, the recognition efficiency of binarization is low and the accuracy is poor. It only recognizes relatively simple scenes, and it cannot realize accurate positioning and detection of two-dimensional codes in complex environ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K7/14G06K9/62G06N3/04
CPCG06K7/1482G06K7/1456G06K7/1443G06K7/1417G06N3/045G06F18/23G06F18/2148G06F18/24
Inventor 王飞刘小超
Owner 成都艾视特信息技术有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com