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Paper Abstract and Keywords
Presentation 2009-12-04 14:35
Ideal Discriminant Analysis for Robust Ear Recognition
Daishi Watabe, Koji Soma, Hideyasu Sai, Kastuhiro Sakai (SIT), Osamu Nakamura (KOUGAKUIN Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Discriminant analysis are popular algorithms for face recognition and various discriminant analysis are proposed in thus far. In this study various discriminant analysis algorithms are thoroughly examined for ear biometrics. Experiment performed on XM2VTS database made 97.8% recognition rate using Kernel discriminant analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) Ear Recognition / Discriminant Analysis / / / / / /  
Reference Info. ITE Tech. Rep., vol. 33, pp. 63-66, Dec. 2009.
Paper #  
Date of Issue 2009-11-26 (ME) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee ME IEICE-BS  
Conference Date 2009-12-03 - 2009-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagano Prefecture General Industrial Technology Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-BS 
Conference Code 2009-12-ME-BS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Ideal Discriminant Analysis for Robust Ear Recognition 
Sub Title (in English)  
Keyword(1) Ear Recognition  
Keyword(2) Discriminant Analysis  
1st Author's Name Daishi Watabe  
1st Author's Affiliation Saitama Institute of Technology (SIT)
2nd Author's Name Koji Soma  
2nd Author's Affiliation Saitama Institute of Technology (SIT)
3rd Author's Name Hideyasu Sai  
3rd Author's Affiliation Saitama Institute of Technology (SIT)
4th Author's Name Kastuhiro Sakai  
4th Author's Affiliation Saitama Institute of Technology (SIT)
5th Author's Name Osamu Nakamura  
5th Author's Affiliation KOUGAKUIN University (KOUGAKUIN Univ.)
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Speaker Author-2 
Date Time 2009-12-04 14:35:00 
Presentation Time 25 minutes 
Registration for IEICE-BS 
Paper # ME2009-230 
Volume (vol) vol.33 
Number (no) no.54 
Page pp.63-66 
Date of Issue 2009-11-26 (ME) 

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