NDLI: Deep finger texture learning for verifying people

Content Provider	IET Digital Library
Author	Omar, Raid R. Han, Tingting Sumaidaee, Saadoon A. M. Al Chen, Taolue
Abstract	Finger texture (FT) is currently attracting significant attention in the area of human recognition. FT covers the area between the lower knuckle of the finger and the upper phalanx before the fingerprint. It involves rich features which can be efficiently used as a biometric characteristic. In this study, the authors contribute to this growing area by proposing a new verification approach, i.e. deep FT learning. To the best of the authors’ knowledge, this is the first time that deep learning is employed for recognising people by using the FT characteristic. Four databases have been used to evaluate the proposed method: the Hong Kong Polytechnic University Contact-free 3D/2D (PolyU2D), Indian Institute of Technology Delhi (IITD), CASIA Blue spectral (CASIA-BLU) corresponding to spectral 460 nm and CASIA White spectral (CASIA-WHT) from the CASIA Multi-Spectral images database. The obtained results have shown superior performance compared with recent literature. The verification accuracies have attained 100, 98.65, 100 and 98% for the four databases of PolyU2D, IITD, CASIA-BLU and CASIA-WHT, respectively.
Starting Page	40
Ending Page	48
Page Count	9
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5066
Journal	IET Biometrics
Publisher Date	2018-07-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Characteristic Biomimetics CASIA Blue Spectral CASIA Multispectral Image Database CASIA White Spectral CASIA-BLU CASIA-WHT Computer Vision And Image Processing Technique Data Security Deep Finger Texture Deep FT Learning Deep Learning Feature Extraction Fingerprint FT Characteristic Hong Kong Polytechnic University Contact-free 3D/2D Human Recognition Image Fusion Image Recognition Image Texture Lower Knuckle People Verification PolyU2D Rich Feature Spatial And Pictorial Database Upper Phalanx Verification Approach Visual Database
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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