A face authentication scheme based on Affine-SIFT (ASIFT) and Structural Similarity (SSIM) - 文章详情页

作者：

Wu, Lifang (Wu, Lifang.) (学者：毋立芳) | Zhou, Peng (Zhou, Peng.) | Liu, Shuqin (Liu, Shuqin.) | Zhang, Xiuzhen (Zhang, Xiuzhen.) | Trucco, Emanuele (Trucco, Emanuele.)

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EI Scopus

摘要：

In　this　paper,　we　propose　a　novel　face　authentication　approach　based　on　affine　scale　invariant　feature　transform　(ASIFT)　and　structural　similarity　(SSIM).　The　ASIFT　descriptor　defines　key　points　which　are　used　to　match　the　gallery　and　probe　face　images.　The　matched　pairs　of　key　points　are　filtered　based　on　the　location　of　points　in　the　gallery　face　image.　Then　the　similarity　between　sub-images　at　a　preserved　pair　of　matched　points　is　measured　by　Structural　Similarity　(SSIM).　A　mean　SSIM　(MSSIM)　at　all　pairs　of　points　is　computed　for　authentication.　The　proposed　approach　is　tested　on　FERET,　CMU-PIE　and　AR　databases　with　only　one　image　for　enrollment.　Comparative　results　on　the　AR　database　show　that　our　approach　outperforms　state-of-the-art　approaches.　©　2012　Springer-Verlag.

关键词：

Authentication Biometrics Affine transforms

作者机构：

[ 1 ] [Wu, Lifang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhou, Peng]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Liu, Shuqin]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Zhang, Xiuzhen]School of CS and IT, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia
[ 5 ] [Trucco, Emanuele]School of Computing, University of Dundee, Dundee DD1 4HN, United Kingdom

通讯作者信息：

电子邮件地址：

lfwu@bjut.edu.cn

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