Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13933
Title: A unified framework for contactless hand verification
Authors: Kanhangad, V
Pathak, A 
Zhang, D 
Keywords: Contactless palmprint
Hand biometrics
SurfaceCode
Three-dimensional (3-D) hand geometry
Three-dimensional (3-D) palmprint
Two-dimensional (2-D) hand geometry
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on information forensics and security, 2011, v. 6, no. 3 PART 2, 5721811, p. 1014-1027 How to cite?
Journal: IEEE transactions on information forensics and security 
Abstract: Two-dimensional (2-D) hand-geometry features carry limited discriminatory information and therefore yield moderate performance when utilized for personal identification. This paper investigates a new approach to achieve performance improvement by simultaneously acquiring and combining three-dimensional (3-D) and 2-D features from the human hand. The proposed approach utilizes a 3-D digitizer to simultaneously acquire intensity and range images of the presented hands of the users in a completely contact-free manner. Two new representations that effectively characterize the local finger surface features are extracted from the acquired range images and are matched using the proposed matching metrics. In addition, the characterization of 3-D palm surface using SurfaceCode is proposed for matching a pair of 3-D palms. The proposed approach is evaluated on a database of 177 users acquired in two sessions. The experimental results suggest that the proposed 3-D hand-geometry features have significant discriminatory information to reliably authenticate individuals. Our experimental results demonstrate that consolidating 3-D and 2-D hand-geometry features results in significantly improved performance that cannot be achieved with the traditional 2-D hand-geometry features alone. Furthermore, this paper also investigates the performance improvement that can be achieved by integrating five biometric features, i.e., 2-D palmprint, 3-D palmprint, finger texture, along with 3-D and 2-D hand-geometry features, that are simultaneously extracted from the user's hand presented for authentication.
URI: http://hdl.handle.net/10397/13933
ISSN: 1556-6013
EISSN: 1556-6021
DOI: 10.1109/TIFS.2011.2121062
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