Share Email Print
cover

Proceedings Paper

New statistical method for multifont printed Tibetan/English OCR
Author(s): Hua Wang; Xiaoqing Ding
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Tibetan optical character recognition (OCR) system plays a crucial role in the Chinese multi-language information processing system. This paper proposed a new statistical method to perform multi-font printed Tibetan/English character recognition. A robust Tibetan character recognition kernel is elaborately designed. Incorporating with previous English character recognition techniques, the recognition accuracy on a test set containing 206,100 multi-font printed characters reaches 99.67%, which shows the validity of the proposed method.

Paper Details

Date Published: 15 December 2003
PDF: 11 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.528977
Show Author Affiliations
Hua Wang, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

© SPIE. Terms of Use
Back to Top