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Optical Engineering

Feature-based neural wavelet optical character recognition system
Author(s): Khan M. Iftekharuddin; Terry D. Schechinger; Kanaan Jemili; Mohammad A. Karim
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Paper Abstract

A hybrid character recognition system that uses a feature-extraction method is proposed. The features are extracted using a wavelet transform, preclassified using a k-nearest-neighbor-based neural net and subsequently postprocessed using an optical correlator. This feature-based neural wavelet optical architecture is then tested on blurred character images.

Paper Details

Date Published: 1 November 1995
PDF: 7 pages
Opt. Eng. 34(11) doi: 10.1117/12.213654
Published in: Optical Engineering Volume 34, Issue 11
Show Author Affiliations
Khan M. Iftekharuddin, BDM Federal (United States)
Terry D. Schechinger, BDM Federal (United States)
Kanaan Jemili, Univ. of Dayton (United States)
Mohammad A. Karim, Univ. of Dayton (United States)

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