Scene text recognition method based on sparse coding characteristics

A sparse coding and text recognition technology, which is applied in the field of scene text recognition based on sparse coding features, can solve the problem that the character classifier cannot effectively express the character structure information, so as to improve the text recognition rate, better detect and recognize characters, and improve the discrimination effect of ability

Active Publication Date: 2014-07-23
XIAMEN UNIV
View PDF3 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a scene text recognition method based on sparse coding features to solve the problem that the feature extraction of the character classifier in the current scene text recognition cannot effectively express the character structure information.

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
  • Scene text recognition method based on sparse coding characteristics
  • Scene text recognition method based on sparse coding characteristics
  • Scene text recognition method based on sparse coding characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to further explain the technical methods and advantages of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0044] Such as figure 1 Shown in the method flowchart in, the present invention comprises the following steps:

[0045] Step S1: Input the text image of the natural scene to be recognized;

[0046] Step S2: Using the multi-scale sliding window method, use the character classifier to detect and identify the window area in the image, and for each character category, determine the area with the larger output of the classifier as the candidate character area, and output the smaller one The region is considered as the background region, so that the candidate character regions contained in the image are found. Then use the non-maximum value suppression method, and only keep the area with the largest output value of the classifier and the corresponding charact...

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 scene text recognition method based on sparse coding characteristics, and relates to computer vision and pattern recognition. The method includes the steps: inputting a natural scene text image to be recognized; by the aid of a multi-scale sliding window method, detecting and recognizing a window area in the image by a character classifier, for each character class, determining a large output area of the classifier as a candidate character area, determining a small output area as a background area, finding the candidate character area in the image, retaining the area with the largest output value of the classifier and the corresponding character class for the area with a large overlapping ratio by the aid of a non-maximum suppression method, and removing the repetitive and redundant candidate character area to obtain a character detection result; combining detected characters into a word or text line; outputting a scene text recognition result. Structural characteristics of the characters can be more effectively expressed and extracted, so that the recognition rate of a scene text is increased.

Description

technical field [0001] The invention relates to computer vision and pattern recognition, in particular to a scene text recognition method based on sparse coding features. Background technique [0002] As products such as smart phones and digital cameras become more and more popular, obtaining pictures and videos has become a breeze, and the analysis and understanding of images and videos has become one of the research directions with broad application prospects. In images and videos, text information contains important semantic information, which is of great value to the understanding of images and videos, such as book covers, billboards next to roads, road sign information, subtitles in videos, etc. contain a lot of information , this information is easier for humans and computers to understand and store. Therefore, in the field of computer vision, scene image text recognition has attracted more and more attention. Due to the complex background of the scene image, the siz...

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): G06K9/20G06K9/46
Inventor 王菡子王大寒章冬
Owner XIAMEN UNIV
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