A Gurmukhi script recognition system

Author

Lehal, G.S. ; Singh, Chandan

Author_Institution

Dept. of Comput. Sci. & Eng., Punjabi Univ., Patiala, India

Volume

2

fYear

2000

fDate

2000

Firstpage

557

Abstract

A system for recognition of machine printed Gurmukhi script is presented. The recognition system presented operates at sub-character level. The segmentation process breaks a word into sub-characters and the recognition phase consists of classifying these sub-characters and combining them to form Gurmukhi characters. A set of very simple and easy to computer features is used and a hybrid classification scheme consisting of binary decision trees and nearest neighbours is employed. A recognition rate of 96.6% at the processing speed of 175 characters second was achieved on clean images of text without employing any post-processing technique

Keywords

decision trees; image segmentation; optical character recognition; pattern classification; Gurmukhi script recognition; binary decision trees; image segmentation; nearest neighbours; optical character recognition; pattern classification; subcharacter level; Character recognition; Classification tree analysis; Computer science; Decision trees; Image converters; Image recognition; Magnetic heads; Natural languages; Optical character recognition software; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.906135

Filename

906135