Feature Extraction in an Optical Character Recognition Machine

1 September 1971

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers

Vol. C-20 (9) , 1063-1067
https://doi.org/10.1109/t-c.1971.223404

Abstract

A feature extraction technique for the next generation of optical character readers must be able to rapidly generate a quantity of discriminant functions using a minimum of equipment. The procedure described in this note generates a series of reference patterns for two-class discrimination and a feature ordering tree which may also be used to decode the sample class. Special hardware is used to provide practical learning times for handprinted characters.

Keywords

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