Character extracting method from complecate background color image based on run-length adjacent map

A color image, complex background technique used in character and pattern recognition, instruments, computer parts, etc.
CN1588431AInactive Publication Date: 2005-03-02TSINGHUA UNIV

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
TSINGHUA UNIV
Publication Date
2005-03-02
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention is a character extracting method in complex background color image based on runlength adjacency graph, which belongs to character extracting field in preprocess of color image character identification. All color connection sections are acquired with CRAG (color run-length adjacency graph) region growing algorithm after the digital color image is acquired, then the color average is carried on with color classification, acquires several color centers, forms different color layers with the color centers, then the color connection regions accordant to connection region differentiation rule are distributed onto several color layers. Finally the character is selected out through character analysis and size consistency differentiation, and acquires the character image. The method has a high speed and accuracy.
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Description

technical field

[0001] The method of extracting characters from complex background color images based on run-length adjacency graph belongs to the field of image segmentation and the preprocessing field of character recognition. Background technique

[0002] Extracting text characters from complex color images has become a difficult and critical step in color printed document recognition systems. There are often a large number of texts in color printed text images and photo images, and these text characters contain a lot of useful information. In order to extract these useful information, it is necessary to automatically and accurately extract these useful character images from complex color images before they can be recognized and processed. The current popular OCR system cannot solve the problem of extracting characters in complex color images.

[0003] The extraction methods of text characters in color documents can be roughly divided into two categories: the first cate...

Claims

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