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Similar Pattern Discrimination by Filter Mask Learning with Probabilistic Descent

  • Yoshiaki Kurosawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)

Abstract

The purpose of this research was to examine the learning system for a feature extraction unit in OCR. Average Risk Criterion and Probabilistic Descent (basic model of MCE/GPD) are employed in the character recognition system which consists of feature extraction with filters and Euclidian distance. The learning process was applied to the similar character discrimination problem and the effects were shown as the accuracy improvement.

Keywords

OCR Feature Filter Learning GPD MCE 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Yoshiaki Kurosawa
    • 1
  1. 1.Toshiba Solutions Co., Advanced Technology Development, Platform Solutions Div., 1-15 Musashidai, 1, Fuchu-shi, Tokyo 183-8532Japan

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