Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24533
Title: Human identification using finger images
Authors: Kumar, A 
Zhou, Y
Keywords: finger-vein recognition
Fingerprint recognition
fusion
hand biometrics
multispectral finger identification
personal identification
vascular biometrics
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2012, v. 21, no. 4, 6044711, p. 2228-2244 How to cite?
Journal: IEEE transactions on image processing 
Abstract: This paper presents a new approach to improve the performance of finger-vein identification systems presented in the literature. The proposed system simultaneously acquires the finger-vein and low-resolution fingerprint images and combines these two evidences using a novel score-level combination strategy. We examine the previously proposed finger-vein identification approaches and develop a new approach that illustrates it superiority over prior published efforts. The utility of low-resolution fingerprint images acquired from a webcam is examined to ascertain the matching performance from such images. We develop and investigate two new score-level combinations, i.e., holistic and nonlinear fusion, and comparatively evaluate them with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system. The rigorous experimental results presented on the database of 6264 images from 156 subjects illustrate significant improvement in the performance, i.e., both from the authentication and recognition experiments.
URI: http://hdl.handle.net/10397/24533
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2011.2171697
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