Single-character type identification

Yefeng Zheng; Changsong Liu; Xiaoqing Ding

doi:10.1117/12.450738

18 December 2001 Single-character type identification

Yefeng Zheng, Changsong Liu, Xiaoqing Ding

Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450738
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Different character recognition problems have their own specific characteristics. The state-of-art OCR technologies take different recognition approaches, which are most effective, to recognize different types of characters. How to identify character type automatically, then use specific recognition engines, has not brought enough attention among researchers. Most of the limited researches are based on the whole document image, a block of text or a text line. This paper addresses the problem of character type identification independent of its content, including handwritten/printed Chinese character identification, and printed Chinese/English character identification, based on only one character. Exploiting some effective features, such as run-lengths histogram features and stroke density histogram features, we have got very promising result. The identification correct rate is higher than 98% in our experiments.

Citation Download Citation

Yefeng Zheng, Changsong Liu, and Xiaoqing Ding "Single-character type identification", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450738

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