A NEW STROKE EXTRACTION METHOD OF CHINESE CHARACTERS-Reference-Cited by-同舟云学术

A NEW STROKE EXTRACTION METHOD OF CHINESE CHARACTERS

Published:2001-06 Issue:04 Volume:15 Page:707-721
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

SUN XINGMING¹,YANG LIHUA²,TANG Y. Y.³,HU YUNFA⁴

Affiliation:

1. Department of Computer Science and Engineering, Zhuzhou Institute of Technology, Hunan, 412000, P. R. China

2. Department of Scientific Computing and Computer Application, Zhongshan University, P. R. China

3. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, P. R. China

4. Department of Computer Science and Technology, Changsha Institute of Technology, P. R. China

Abstract

Stroke extraction of Chinese characters plays an important role in Chinese character information processing such as character recognition, document analysis, document compression and storage, font automation and so on. By analyzing the structure of Chinese characters deeply, this paper developed a novel method to extract strokes of Chinese characters directly from the original character pattern image. Two theorems, eight rules and an algorithm for stroke extraction of Chinese characters are presented. This method can overcome the difficulties encountered in disposing the intersection or connection of different strokes, and can eliminate noises successfully. Our experiments have shown that this method can extract strokes both accurately and efficiently.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001401001064

Reference15 articles.

1. Off-line recognition of handwritten Chinese characters by on-line model-guided matching

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