Postprocessing algorithm for the optical recognition of degraded characters

Haisong Liu; Minxian Wu; Guofan Jin; Yingbai Yan

doi:10.1117/12.335820

7 January 1999 Postprocessing algorithm for the optical recognition of degraded characters

Haisong Liu, Minxian Wu, Guofan Jin, Yingbai Yan

Proceedings Volume 3651, Document Recognition and Retrieval VI; (1999) https://doi.org/10.1117/12.335820
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Haisong Liu, Minxian Wu, Guofan Jin, and Yingbai Yan "Postprocessing algorithm for the optical recognition of degraded characters", Proc. SPIE 3651, Document Recognition and Retrieval VI, (7 January 1999); https://doi.org/10.1117/12.335820

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