Classification of oriental and European scripts by using characteristic features

Author

Ding, Jie ; Lam, Louisa ; Suen, Ching Y.

Author_Institution

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

Volume

2

fYear

1997

fDate

18-20 Aug 1997

Firstpage

1023

Abstract

Two types of techniques are usually adopted in language differentiation: token matching and statistical analysis. In this paper we present a method which uses a combined analysis of several discriminating statistical features for the differentiation between European and oriental language scripts. When applied to more than 23 languages, it has proved to be effective in classifying documents printed in these different scripts

Keywords

character sets; document image processing; feature extraction; image classification; image matching; optical character recognition; statistical analysis; European script classification; OCR; characteristic features; document classification; language differentiation; oriental script classification; statistical analysis; statistical features; token matching; Character recognition; Filters; Image segmentation; Indexing; Machine intelligence; Natural languages; Pattern recognition; Performance analysis; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.620664

Filename

620664