Presentation 2004-12-10
Characteristic Analysis of the Image Recognition Method Using the Blur Component by Discrete Wavelet Transform
Yasuhiko SUZUKI, Kazunori KOTANI,
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Abstract(in English) Iijima had built up his own pattern recognition theory by deriving a fundamental equation of visual pattern based on blur for Gaussian space filter. We had proposed a new facial recognition method using multi resolution component of image by discrete wavelet transform (DWT), and it had fairly good accuracy of classification. Although decomposition of DWT correspond to blur of above theory, a mathematical proof is not yet carry out because mother wavelet function of DWT is complicate. This report discusses a mathematical analysis of correspondence between bur method and Iijima's theory. We also discuss the comparison by experiments of pattern classification.
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Keyword(in English) discrete wavelet transform / multi resolution analysis / pattern recognition / blur transformation
Paper # CS2004-116,IE2004-111
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Committee CS
Conference Date 2004/12/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Characteristic Analysis of the Image Recognition Method Using the Blur Component by Discrete Wavelet Transform
Sub Title (in English)
Keyword(1) discrete wavelet transform
Keyword(2) multi resolution analysis
Keyword(3) pattern recognition
Keyword(4) blur transformation
1st Author's Name Yasuhiko SUZUKI
1st Author's Affiliation Japan Advanced Institute of Science and.Technology()
2nd Author's Name Kazunori KOTANI
2nd Author's Affiliation Japan Advanced Institute of Science and.Technology
Date 2004-12-10
Paper # CS2004-116,IE2004-111
Volume (vol) vol.104
Number (no) 494
Page pp.pp.-
#Pages 6
Date of Issue