A bilingual OCR for Hindi-Telugu documents and its applications

Author

Jawahar, C.V. ; Pavan Kumar, M.N.S.S.K. ; Kiran, S S Ravi

Author_Institution

Centre for Visual Inf. Technol., Int. Inst. of Inf. Technol., Hyderabad, India

fYear

2003

fDate

3-6 Aug. 2003

Firstpage

408

Abstract

This paper describes the character recognition process from printed documents containing Hindi and Telugu text. Hindi and Telugu are among the most popular languages in India. The bilingual recognizer is based on Principal Component Analysis followed by support vector classification. This attains an overall accuracy of approximately 96.7%. Extensive experimentation is carried out on an independent test set of approximately 200000 characters. Applications based on this OCR are sketched.

Keywords

character sets; document image processing; linguistics; natural language interfaces; optical character recognition; Hindi text; Hindi-Telugu documents; Indian languages; Indian scripts; OCR engine; Principal Component Analysis; SVM PCA based OCR; Telugu text; bilingual OCR; bilingual recognizer; character recognition; document images; support vector classification; Application software; Character recognition; Focusing; Heart; Image recognition; Information technology; Natural languages; Optical character recognition software; Principal component analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on

Print_ISBN

0-7695-1960-1

Type

conf

DOI

10.1109/ICDAR.2003.1227699

Filename

1227699