Confidence guided progressive search and fast match techniques for high performance Chinese/English OCR

Author

Feng, Zhi-Dan ; Huo, Qiang

Author_Institution

Dept. of Comput. Sci. & Inf. Syst., Hong Kong Univ., China

Volume

3

fYear

2002

fDate

2002

Firstpage

89

Abstract

In the past several years, we have been developing a high performance OCR engine for machine printed Chinese/English documents. We present two innovative techniques that contribute to the high efficiency in recognition of the mixed Chinese/English text line. They are (1) a progressive search strategy based on character verification, and (2) a tree-based fast match technique with a confidence-guided adaptive stopping mechanism. The efficacy of the proposed techniques is confirmed by experiments in a benchmark test.

Keywords

document image processing; image matching; image segmentation; optical character recognition; character verification; confidence guided progressive search; confidence-guided adaptive stopping; experiments; fast match techniques; high performance Chinese OCR; high performance English OCR; image segmentation; machine printed documents; progressive search strategy; text recognition; tree-based fast match technique; Benchmark testing; Books; Character recognition; Computer science; Engines; Image segmentation; Information systems; Optical character recognition software; Text recognition; Typesetting;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2002. Proceedings. 16th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-1695-X

Type

conf

DOI

10.1109/ICPR.2002.1047802

Filename

1047802