Is spectral reflectance of the face a reliable biometric?

作     者：Uzair, Muhammad Mahmood, Arif Shafait, Faisal Nansen, Christian Mian, Ajmal 

作者机构：Univ Western Australia Comp Sci & Software Engn Crawley WA 6009 Australia Univ Calif Davis Dept Entomol & Nematol Davis CA 95616 USA 

出 版 物：《OPTICS EXPRESS》 (Opt. Express)

年 卷 期：2015年第23卷第12期

页      面：15160-15173页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：Australian Research Council (ARC) [DP110102399] 

主　　题：Face recognition Fiber optic cables Hyperspectral imaging Image recognition algorithms Reflectance spectroscopy Retina scanning 

摘      要：Over a decade ago, Pan et al. [IEEE TPAMI 25, 1552 (2003)] performed face recognition using only the spectral reflectance of the face at six points and reported around 95% recognition rate. Since their database is private, no one has been able to replicate these results. Moreover, due to the unavailability of public datasets, there has been no detailed study in the literature on the viability of facial spectral reflectance for person identification. In this study, we introduce a new public database of facial spectral reflectance profiles measured with a high precision spectrometer. For each of the 40 subjects, spectral reflectance was measured at the same six points as Pan et al. [IEEE TPAMI 25, 1552 (2003)] in multiple sessions and with time lapse. Furthermore, we sample the facial spectral reflectance from two public hyperspectral face image datasets and analyzed the data using state of the art face classification techniques. The best performing classifier achieved the maximum rank-1 identification rate of 53.8%. We conclude that facial spectral reflectance alone is not a reliable biometric for unconstrained face recognition. (C) 2015 Optical Society of America.