论文信息 - A new approach to stroke and feature point extraction in Chinese character recognition

A new approach to stroke and feature point extraction in Chinese character recognition

This paper describes a new stroke and feature point extraction method for the recognition of printed Chinese characters of multiple fonts and various sizes. Based on our experimental study using 8 sets of Chinese character fonts, each comprising 3755 Chinese characters, this method is shown to be more stable compared to traditional methods.

Kim-Teng Lua | Kok-Wee Gan

[1] Fang-Hsuan Cheng,et al. Recognition of Handwritten Chinese Characters by Structure Analysis of Strokes , 1985 .

[2] X Zhang. AN INVESTIGATION OF THE RECOGNITION OF HANDPRINTED CHINESE CHARACTERS BY STROKE EXTRACTION , 1982 .

[3] Yung-Sheng Chen,et al. Stroke Relation Coding - a New Approach to the Recognition of Multi-Font Printed Chinese Characters , 1988, Int. J. Pattern Recognit. Artif. Intell..

[4] Edward S. Deutsch,et al. Thinning algorithms on rectangular, hexagonal, and triangular arrays , 1972, Commun. ACM.

[5] Keiji Kobayashi,et al. Recognition of handprinted Kanji characters by the stroke matching method , 1983, Pattern Recognit. Lett..

[6] Xia Ying,et al. The automatic recognition of handprinted Chinese characters - A method of extracting an ordered sequence of strokes , 1983 .