Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Convolutional neural network-based single word pattern character recognition method and device

A convolutional neural network and text recognition technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of low recognition rate and weak generalization ability, so as to improve generalization ability and text recognition rate effect

Active Publication Date: 2017-09-08
KINGDEE SOFTWARE(CHINA) CO LTD
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Applying this text recognition method of the prior art to carry out text recognition, the recognition rate is not high, and the generalization ability is weak

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
  • Convolutional neural network-based single word pattern character recognition method and device
  • Convolutional neural network-based single word pattern character recognition method and device
  • Convolutional neural network-based single word pattern character recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] see figure 1 As shown, it is an implementation flowchart of a convolutional neural network-based single-character image recognition method provided by an embodiment of the present invention. The method may include the following steps:

[0051] S110: Determine a target image to be subjected to character recognition.

[0052] In the embodiment of the present invention, the target image to be recognized ...

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

A convolutional neural network-based single word pattern character recognition method disclosed by the present invention comprises the following steps of determining a target image on which the character recognition is going to be carried out; positioning the character information in the target image, and extracting the characters; according to the extracted characters, obtaining a plurality of single word patterns of the target image; separately inputting each single word pattern in a pre-trained target convolutional neural network, propagating forwards, and obtaining a character recognition result of each single word pattern. By applying the technical scheme provided by the embodiment of the present invention, the target convolutional neural network is obtained by training a lot of single word pattern samples, and the character recognition rate of the single word patterns and the generalizable ability are improved. The present invention also discloses a convolutional neural network-based single word pattern character recognition device which has the corresponding technical effect.

Description

technical field [0001] The present invention relates to the field of computer application technology, in particular to a convolutional neural network-based method and device for recognizing single-character pictures and characters. Background technique [0002] With the rapid development of computer technology, pattern recognition technology has also been developed rapidly. Character recognition has always been one of the important research topics in the field of pattern recognition. [0003] Characters separated in images often contain deformations, such as rotation, twisting, skewing, etc. The existing character recognition method is to correct the deformed characters by applying nonlinear transformation to the character lattice to reduce the intra-class variance according to the structural characteristics of the characters. For characters containing noise, filter algorithms such as median filtering and Gaussian filtering are used to denoise them. Then the processed char...

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): G06K9/20G06K9/62
CPCG06V10/22G06F18/214
Inventor 胡志成蒋菲
Owner KINGDEE SOFTWARE(CHINA) CO LTD
Features
  • Generate Ideas
  • 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