1 November 1995 Feature-based neural wavelet optical character recognition system
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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.
Khan M. Iftekharuddin, Khan M. Iftekharuddin, Terry D. Schechinger, Terry D. Schechinger, Kanaan Jemili, Kanaan Jemili, Mohammad A. Karim, Mohammad A. Karim, } "Feature-based neural wavelet optical character recognition system," Optical Engineering 34(11), (1 November 1995). https://doi.org/10.1117/12.213654 . Submission:
JOURNAL ARTICLE
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