Paper
17 April 2006 Knuckle based hand correlation for user authentication
K. Kumar Sricharan, A. Aneesh Reddy, A. G. Ramakrishnan
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Abstract
Different hand-derived biometric traits have been used for user authentication in many commercial systems. In this paper we have investigated the possibility of using a new biometric trait, the knuckle, for user authentication. Knuckle regions are extracted from the hand images and correlation methods are used for the purpose of verification. Experimental results on a data set of 125 people show that the knuckle is a viable biometric trait, which can be used as an alternative to finger and palm prints or in conjunction with them.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Kumar Sricharan, A. Aneesh Reddy, and A. G. Ramakrishnan "Knuckle based hand correlation for user authentication", Proc. SPIE 6202, Biometric Technology for Human Identification III, 62020X (17 April 2006); https://doi.org/10.1117/12.666438
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Cited by 20 scholarly publications.
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KEYWORDS
Biometrics

Image resolution

Databases

Electrical engineering

Image acquisition

Image segmentation

Computer security

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