Boosted Features for Face Authentication

Boosted features developed using face signatures in combination with Gentle Adaboost algorithm offer alternative features for face authentication and face recognition. Face signatures are face representations extracted from Trace transform and Gentle Adaboost is used to enhance the performance of th...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 666; no. Electronics, Mechatronics and Automation III; pp. 276 - 281
Main Authors Hanafi, M., Adnan, W.A.W.
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.10.2014
Subjects
Algorithms
Authentication
Face recognition
Machine learning
Representations
Signatures
Transforms
Gentle AdaBoost
Face Signatures
Face
Trace Transform
Adaboost
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Summary:Boosted features developed using face signatures in combination with Gentle Adaboost algorithm offer alternative features for face authentication and face recognition. Face signatures are face representations extracted from Trace transform and Gentle Adaboost is used to enhance the performance of the features extracted from the face signatures. In this paper, we demonstrate the usefulness of the constructed features with experiments on BANCA database.
Bibliography:Selected, peer reviewed papers from the 2014 3rd International Conference on Electronics, Mechatronics and Automation (ICEMA 2014), August 22-23, 2014, Dubai, UAE
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SourceType-Scholarly Journals-1
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ISBN:9783038352976
3038352977
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.666.276