Extraction of peripheral shape features in Chinese character recognition

Author

Tang, Yuan Y. ; Suen, Ching Y.

Author_Institution

Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

Volume

2

fYear

1994

fDate

9-13 Oct 1994

Firstpage

377

Abstract

Extraction of a stable and representative set of features is the heart of the design of a pattern recognition system. Knowing the distribution of information on the pixels of a character will be of great assistance to the study of feature extraction. In this paper, an analysis of the distribution of information on the pixels of binarized Chinese characters is presented. From the analysis, it is obvious that the information of a Chinese character tends to concentrate around the peripheries of the character. Several methods to extract peripheral shape features are presented. Some experiments are conducted on Chinese character recognition and the results show the advantages of the peripheral shape features

Keywords

feature extraction; Chinese character recognition; binarized Chinese characters; feature extraction; information distribution; pattern recognition system; peripheral shape features; Character recognition; Data mining; Dictionaries; Entropy; Feature extraction; Heart; Information analysis; Machine intelligence; Pattern recognition; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on

Conference_Location

Jerusalem

Print_ISBN

0-8186-6270-0

Type

conf

DOI

10.1109/ICPR.1994.576945

Filename

576945