Presentation 2006-06-16
Performance estimation of face authentication based on auto-associative memory
Hiroshi KAGE, Shintaro WATANABE, Ken-ichi TANAKA, Kazuo KYUMA,
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Abstract(in English) In some situations of face authentication by face images, the system performance will be degraded caused by partial occlusion, facial expression, and so on. Therefore we applied the framework of auto-associative memory to cope with this problem, and evaluated the degree of improvement of the system performance compared to the original one. The face images were collected from forty-one persons as an experiment. As a result, we obtained an improvement of equal error rate from 20% down to 15%. We also referred to the degraded performance brought about by the increase of the number of registered persons.
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Keyword(in English) Auto-associative Memory / Face Recognition / Occlusion-tolerant / False Rejection / False Acceptance
Paper # NC2006-30
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Committee NC
Conference Date 2006/6/9(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance estimation of face authentication based on auto-associative memory
Sub Title (in English)
Keyword(1) Auto-associative Memory
Keyword(2) Face Recognition
Keyword(3) Occlusion-tolerant
Keyword(4) False Rejection
Keyword(5) False Acceptance
1st Author's Name Hiroshi KAGE
1st Author's Affiliation Advanced Research R&D Center, Mitsubishi Electric Corporation()
2nd Author's Name Shintaro WATANABE
2nd Author's Affiliation Advanced Research R&D Center, Mitsubishi Electric Corporation
3rd Author's Name Ken-ichi TANAKA
3rd Author's Affiliation Advanced Research R&D Center, Mitsubishi Electric Corporation
4th Author's Name Kazuo KYUMA
4th Author's Affiliation Corporate Research & Development Group, Mitsubishi Electric Corporation
Date 2006-06-16
Paper # NC2006-30
Volume (vol) vol.106
Number (no) 102
Page pp.pp.-
#Pages 6
Date of Issue