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Proceedings Paper

Recognition By Two Stage Discriminant Analysis
Author(s): Hiroyuki Kami; Tsutomu Temma; Ko Asai
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Paper Abstract

Two stage discriminant analysis has been proposed for multi class recognition. In the second stage, multiple discriminant analysis is applied to the identification for each set of classes, which are not distinctly classified in the first stage. The proposed method is applied to character recognition for the method estimation. The recognition rate was 99.3% for 91 categories of alphanumerics and special symbols. The recognition speed was 20 milliseconds per character, when this analysis program was executed on image pipelined processors. It has been shown that this method is further applicable to character sequence recognition without the need for a character isolation process.

Paper Details

Date Published: 21 August 1987
PDF: 6 pages
Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); doi: 10.1117/12.939960
Show Author Affiliations
Hiroyuki Kami, NEC Corporation (Japan)
Tsutomu Temma, NEC Corporation (Japan)
Ko Asai, NEC Corporation (Japan)

Published in SPIE Proceedings Vol. 0754:
Optical and Digital Pattern Recognition
Hua-Kuang Liu; Paul S. Schenker, Editor(s)

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