Font recognition method and device based on picture, electronic equipment and storage medium

A font recognition and picture technology, applied in the field of text recognition, can solve the problems of poor recognition results, low font recognition accuracy, and inconspicuous text features, and achieve the effect of good resolution, improved recognition accuracy, and improved recognition effect.

Pending Publication Date: 2019-09-24
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the existing text recognition technology is to extract the features of text pictures, input them into the recurrent neural network, and analyze the font recognition results. This method is better for clear text pictur

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
  • Font recognition method and device based on picture, electronic equipment and storage medium
  • Font recognition method and device based on picture, electronic equipment and storage medium
  • Font recognition method and device based on picture, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0050] In order to enable those of ordinary skill in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the accompanying drawings.

[0051] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described herein can be implemented in a sequence other than those illustrated or described herein. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. Rather, they are only e...

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 relates to a font recognition method and device based on a picture, electronic equipment and a storage medium. A to-be-processed picture is processed to obtain two kinds of pictures with different resolutions; the two pictures with different resolutions are input into two independent convolutional neural networks for feature extraction; pictures with different resolutions can be processed at the same time; the network also has good resolving power for pictures with lower resolutions; the method improves the recognition effect on the fonts in the blurred picture, finally improves the recognition accuracy of the blurred picture, obtains the feature information of the fonts in the picture through the pre-trained deep learning network, captures the local key information of the fonts in the blurred picture, and improves the recognition accuracy of the fonts in the blurred picture.

Description

technical field [0001] The present disclosure relates to the technical field of character recognition, and in particular to a picture-based font recognition method, device, electronic equipment, and storage medium. Background technique [0002] As graphics and texts can provide users with more exciting information, how to identify fonts from graphics and texts in order to improve user experience has become a current research hotspot. At present, the existing text recognition technology is to extract the features of text pictures, input them into the recurrent neural network, and analyze the font recognition results. This method is better for clear text pictures, but for fuzzy text pictures, due to the More than 10,000, many fonts are similar, and the character features are not obvious after the image is blurred, resulting in poor recognition results and low font recognition accuracy. Contents of the invention [0003] The present disclosure provides a picture-based font r...

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): G06K9/68G06K9/32G06N3/04
CPCG06V20/63G06V30/245G06N3/045
Inventor 张水发李岩
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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