Semantic association character recognition method and device

A technology of semantic association and text recognition, which is applied in the field of image processing and can solve problems such as low recognition rate

Pending Publication Date: 2021-08-06
BEIJING WILION TIME TECH
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The object of the present invention is to provide a method and device for recognizing semantically related texts to improve the problem of low recognition rate in the prior art

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
  • Semantic association character recognition method and device
  • Semantic association character recognition method and device
  • Semantic association character recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0029] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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 provides a semantic association character recognition method and device, and relates to the technical field of image processing. The method comprises the following steps: acquiring a to-be-recognized image, and acquiring a character template corresponding to the to-be-recognized image; calculating the similarity between the to-be-recognized image and the character template; according to the similarity, determining whether the character in the to-be-recognized image is a pre-determined character category, and when the similarity is greater than a preset value, determining that the character in the to-be-recognized image is a target character; dividing an area where the target character is located into a plurality of blocks; checking the characters in each block according to the semantic relevance to obtain a checking result; and identifying the target character according to the inspection result. The characters in the image are accurately recognized through multi-region relevance detection, so that the accuracy of character recognition is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for recognizing semantically associated characters. Background technique [0002] With the vigorous development of Internet technology, more and more pictures are displayed, transmitted or applied on the Internet, and are also applied to many fields such as education, media, and medicine. Their role cannot be replaced more and more. At the same time, a large amount of text appears in the picture, but readers can only read it but cannot edit it more conveniently. How to effectively identify the target text from the image has become a very meaningful work. Traditional text recognition methods can better recognize text and complete more accurate recognition. However, the traditional methods have very obvious limitations. First of all, the forms of characters are very diverse and often contain very complex backgrounds. Traditional recognition me...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/62G06F40/30
CPCG06F40/30G06V30/153G06V10/751G06F18/22
Inventor 徐晶
Owner BEIJING WILION TIME TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap