A learning pseudo bayes discriminant method based on difference distribution of feature vectors

Hiroaki Takebe, Koji Kurokawa, Yutaka Katsuyama, Satoshi Naoi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We developed a learning pseudo Bayes discriminant method, that dynamically adapts a pseudo Bayes discriminant function to a font and image degradation condition present in a text. In this method, the characteristics of character pattern deformations are expressed as a statistic of a difference distribution, and information represented by the difference distribution is integrated into the pseudo Bayes discriminant function. The formulation of integrating the difference distribution into the pseudo Bayes discriminant function results in that a covariance matrix of each category is adjusted based on the difference distribution. We evaluated the proposed method on multi-font texts and degraded texts such as compressed color images and faxed copies. We found that the recognition accuracy of our method for the evaluated texts was much higher than that of conventional methods.

Original languageEnglish
Title of host publicationDocument Analysis Systems V - 5th International Workshop, DAS 2002, Proceedings
EditorsJianying Hu, Ramanujan Kashi, Daniel Lopresti
PublisherSpringer Verlag
Pages134-144
Number of pages11
ISBN (Print)3540440682, 9783540440680
Publication statusPublished - 2002
Externally publishedYes
Event5th International Workshop on Document Analysis Systems, DAS 2002 - Princeton, United States
Duration: 2002 Aug 192002 Aug 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2423
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Document Analysis Systems, DAS 2002
CountryUnited States
CityPrinceton
Period02/8/1902/8/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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