Four Corner Code based pre-classification scheme for Chinese character recognition

Author

Tham, Yiu-Man ; Lee, Tong

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

fYear

1994

fDate

13-16 Apr 1994

Firstpage

213

Abstract

One of the important step in handwritten Chinese character recognition is the pre-classification. In this paper, a simple pre-classification scheme based on four corner coding is proposed. Four corner code utilizes the information abundant area in Chinese character which is located on the peripheral. Multiple four corner codes are generated to cater for writing variations. Moreover, in case of mis-classification, a feedback model is established to increase the pre-classification rate. The idea of the feedback model is to identify the corner code stroke which is the highest probable to be mis-identified. The recognition system then re-generates another set of four corner codes. Experimental results revealed that a 92% pre-classification rate can be attained

Keywords

character recognition; codes; encoding; feedback; corner code stroke; experimental results; feedback model; four corner codes; four corner coding; handwritten Chinese character recognition; mis-classification; pre-classification rate; recognition system; writing variations; Character recognition; Data mining; Dictionaries; Feature extraction; Feedback; Handwriting recognition; Noise reduction; Office automation; Shape; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344929

Filename

344929