Presentation 1997/6/20
Statistical Analysis of Gabor Features by the Design of Experiment
Shunji Uchimura, Kiyoshi Mizuno, Yoshihiko Hamamoto, Shingo Tomita,
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Abstract(in English) 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 statistically analize the influence of the parameters on the error rate. In this paper, we discuss a statistical analysis on Gabor features for handprinted character recognition by the design of experiment. In addition, we consider the properties of the Gabor parameters, based on the result of the analysis.
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Keyword(in English) handprinted character recognition / design of experiment / Gabor features / optimization of parameters / error rate
Paper # HIP97-3
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Conference Date 1997/6/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Statistical Analysis of Gabor Features by the Design of Experiment
Sub Title (in English)
Keyword(1) handprinted character recognition
Keyword(2) design of experiment
Keyword(3) Gabor features
Keyword(4) optimization of parameters
Keyword(5) error rate
1st Author's Name Shunji Uchimura
1st Author's Affiliation Faculty of Engineering, Yamaguchi University()
2nd Author's Name Kiyoshi Mizuno
2nd Author's Affiliation Faculty of Engineering, Yamaguchi University
3rd Author's Name Yoshihiko Hamamoto
3rd Author's Affiliation Faculty of Engineering, Yamaguchi University
4th Author's Name Shingo Tomita
4th Author's Affiliation Faculty of Engineering, Yamaguchi University
Date 1997/6/20
Paper # HIP97-3
Volume (vol) vol.97
Number (no) 117
Page pp.pp.-
#Pages 8
Date of Issue