Presentation 2007-02-22
On using the Self Organizing Map in Face Recognition
Alaa SAGHEER, Nayouki TSURUTA, Rin-Ichiro TANIGUCHI, Sakashi MAEDA,
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Abstract(in English) The Self Organizing Map (SOM) is one of the most widely used neural network paradigm based on unsupervised competitive learning and can be utilized in a broad area of pattern recognition domain. Though SOM is used in some face recognition applications, it still did not utilized against pose and illumination variations in face based applications. In this paper we use SOM as a feature extractor and SVM as a feature recognizer to perform a complete face recognition system across pose and illumination. To validate our system we use the CMU-PIE database and make a comparison between our approach and other reported approach.
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Keyword(in English) Self Organizing Map / Feature Extraction / Face recognition across pose and illumination
Paper # PRMU2006-214,HIP2006-107
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Committee PRMU
Conference Date 2007/2/15(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On using the Self Organizing Map in Face Recognition
Sub Title (in English)
Keyword(1) Self Organizing Map
Keyword(2) Feature Extraction
Keyword(3) Face recognition across pose and illumination
1st Author's Name Alaa SAGHEER
1st Author's Affiliation Department of Intelligent Systems, Kyushu University()
2nd Author's Name Nayouki TSURUTA
2nd Author's Affiliation Department of Electronics Engineering and Computer Science, Fukuoka University
3rd Author's Name Rin-Ichiro TANIGUCHI
3rd Author's Affiliation Department of Intelligent Systems, Kyushu University
4th Author's Name Sakashi MAEDA
4th Author's Affiliation Department of Electronics Engineering and Computer Science, Fukuoka University
Date 2007-02-22
Paper # PRMU2006-214,HIP2006-107
Volume (vol) vol.106
Number (no) 538
Page pp.pp.-
#Pages 6
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