Chinese detection method in natural scene image based on connected domain

A technology of natural scene images and detection methods, which is applied in the field of Chinese detection based on connected domains, can solve problems such as heavy workload and no effective solution for displaying text connected domains, achieving high accuracy, high initiative and precision sexual effect

Active Publication Date: 2013-05-08
上海深杳智能科技有限公司 +1
View PDF5 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because of the large number of Chinese characters, this method requires a large number of labeled positive and negative samples to lear

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
  • Chinese detection method in natural scene image based on connected domain
  • Chinese detection method in natural scene image based on connected domain
  • Chinese detection method in natural scene image based on connected domain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0052] Such as figure 1 As shown, this embodiment provides a Chinese detection method based on connected domains, and the process can be divided into the following steps:

[0053] Step 1: Get the input image and perform preprocessing;

[0054] Step 2: Perform connected domain calibration on the image;

[0055] Step 3: For each connected domain, extract the characteristic information of the connected domain;

[0056]Step 4: Merge the connected domains according to the obtained characteristic in...

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 Chinese detection method in a natural scene image based on a connected domain. The method comprises the steps: firstly, obtaining the natural scene image, and carrying out preprocessing of stroke width transformation on the natural scene image, wherein an output of the stroke width transformation is an image, and each pixel value of the image represents a maximum possible stroke width of a pixel of a corresponding position of an original image; demarcating connected domains in the image pixels; extracting various features of a connected component after the connected component is obtained, wherein the feature combinations can well express the connected component; from a Chinese structure, firstly, carrying out within character mergence, then carrying out inter-character mergence, wherein a within character mergence method is used for detecting single Chinese character, a inter-character mergence method is used for detecting text lines, and a text area is demarcated by a rectangular frame. According to the Chinese detection method, a complex structure of Chinese serves as a starting point, pertinence in a Chinese detection aspect is good, and therefore the Chinese detection method in the natural scene image based on the connected domain has high initiative and high accuracy.

Description

technical field [0001] The invention relates to the field of text positioning, in particular to a Chinese detection method based on connected domains in natural scene images. Background technique [0002] Text is an important feature in many applications of computer vision. The text in the image contains a lot of useful information, which is crucial to the understanding and acquisition of visual content. The main purpose of text extraction is to convert text images into symbolic forms, which facilitates modification, retrieval, utilization and transmission. Text localization is an important step in text extraction. [0003] Text localization is the precise positioning of the text position in the image. The text localization method based on connected domains first represents the image as connected domains one by one, and then starts from the structural analysis, marks the text lines by combining methods, and outputs the results. [0004] Traditional merging methods are no...

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): G06K9/46
Inventor 周异陈凯徐奕徐勇陈庆明
Owner 上海深杳智能科技有限公司
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