Analysis of Gabor parameters for handwritten numeral recognition by experimental design

  • Shunji Uchimura
  • Kiyoshi Mizuno
  • Yoshihiko Hamamoto
  • Shingo Tomita
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

Abstract

Gabor filter-based features are useful for handprinted character recognition. One needs to optimize Gabor filter parameters because the performance of Gabor features depends strongly on Gabor filter parameters. One way to find the optimal values of the parameters is to analyze statistically the influence of the parameters on the error rate. In this paper, we discuss a statistical analysis of Gabor parameters for handwritten numeral recognition by experimental design. Our statistical analysis shows that optimal values of standard deviations σx and σy in Gabor filter are functions of the wavelength of the filter. In addition, it is shown that optimal values of σx and σy can be separately set on the condition that σx > σy.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Shunji Uchimura
    • 1
  • Kiyoshi Mizuno
    • 1
  • Yoshihiko Hamamoto
    • 1
  • Shingo Tomita
    • 1
  1. 1.Faculty of EngineeringYamaguchi UniversityUbeJapan

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