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Proceedings Paper

Postprocessing algorithm for the optical recognition of degraded characters
Author(s): Haisong Liu; Minxian Wu; Guofan Jin; Yingbai Yan
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Paper Abstract

The researches of document recognition and retrieval have grown rapidly in recent years, especially the processing of real-world documents, photocopies, faxes, and microfiches, in which the characters may be degraded. Optical character recognition has some advantages dealing with the degraded cases because it makes use of the whole information included in the degraded characters. In this paper, we use a simple postprocessing algorithm, which is based on the similarity measure techniques, on the optical correlation output plane to improve the discrimination ability of the pattern recognition procedures, especially for the optical recognition of degraded characters. The study is divided into two parts: one recounts a computer simulated example corresponding to pattern recognition by the use of input images that may be blurred, rotated, or corrupted by additive Gaussian noise, and the second part describes an incoherent optical correlator based optoelectronic processor for the character recognition.

Paper Details

Date Published: 7 January 1999
PDF: 8 pages
Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); doi: 10.1117/12.335820
Show Author Affiliations
Haisong Liu, Tsinghua Univ. (United States)
Minxian Wu, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 3651:
Document Recognition and Retrieval VI
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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