Identity verification utilizing finger surface features

Authors:
Damon L. Woodard;Patrick J. Flynn
Affiliations:
Dept. of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN;Dept. of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN
Venue:
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Year:
2005

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Abstract

In this paper we present a unique approach to personal identification which utilized finger surface features as a biometric identifier. Finger surface features are extracted from dense range images of an individual's hand. The shape index (a curvature-based surface representation) is used to represent the surfaces of the index, middle, and ring fingers of an individual. This representation is used along with a correlation coefficient based matcher to determine similarity. Our experiments make use of data from 223 subjects possessing a 16 week time lapse between collections. We examine the performance of individual finger surfaces in a verification context as well as the performance when using the three finger surfaces in conjunction. We present the results of our experiments, which indicate that this approach performs well for a first-of-its-kind biometric technique.