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Face Authentication by retinotopic sampling of the Gabor decomposition and Support Vector Machines
Microprocessor and Interface Laboratory, Swiss Federal Institute of Technology (EFPL) CH-1015 Lausanne.
Microprocessor and Interface Laboratory, Swiss Federal Institute of Technology (EFPL) CH-1015 Lausanne.
Microprocessor and Interface Laboratory, Swiss Federal Institute of Technology (EFPL) CH-1015 Lausanne.
1999 (English)In: Proceedings of the 2nd International Conference on Audio and Video Based Biometric Person Authentication (AVBPA'99), Washington DC (USA), 1999, 125-129 p.Conference paper, Published paper (Other academic)
Abstract [en]

We describe a face authentication algorithm based on retinotopic sampling of the Gabor decomposition. A log-polar sampling grid is used to encode information from relevant regions of the face. Decision is based on a multi expert scheme, in which each expert independently authenticates the client based on a different facial feature. Implementation of the expert as Support Vector Machines is discussed. An alternative implementation using K-Nearest-Neighbours classifiers is presented for comparison.

Place, publisher, year, edition, pages
1999. 125-129 p.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:hh:diva-14900OAI: oai:DiVA.org:hh-14900DiVA: diva2:408424
Conference
2nd International Conference on Audio and Video Based Biometric Person Authentication (AVBPA'99), March 22nd-24th, 1999, Washington DC (USA)
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2017-06-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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