On-line recognition of handwritten Chinese characters and alphabets

Author

Lin, Chang-Keng ; Jeng, Bor-Shenn

Author_Institution

Telecommun. Lab., Minist. of Commun., Chung-Li, Taiwan

fYear

1990

fDate

3-6 Apr 1990

Firstpage

2029

Abstract

An online handwritten-character recognition system is proposed based on stroke-sequence feature extraction and on a string-matching method called the dynamic neighboring matching method. The patterns to be recognized, including Chinese characters and alphabets, are allowed to be stroke-order- and stroke-number-free and tolerant of combined strokes and wrong strokes. Fewer learning samples are needed, but they must be within the constraint of normal handwriting. Reference patterns have been generated from 4000 categories of characters with stroke numbers ranging from 1 to 31. The recognition results are based upon the 3500 Chinese characters written by 10 people. The recognition rate is 93.5%, and the cumulative classification rate of choosing four most-similar characters is up to 98.5%

Keywords

character recognition; computerised pattern recognition; Chinese alphabets; dynamic neighboring matching method; handwritten Chinese characters; on-line character recognition; string-matching method; stroke-sequence feature extraction; Character generation; Character recognition; Computer interfaces; Computer science; Feature extraction; Handwriting recognition; Laboratories; Optical character recognition software; Pattern matching; Pattern recognition; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115920

Filename

115920