In this paper we present a novel approach for personal identification, which utilizes finger surface features as a biometric identifier. Using dense range data images of the hand, we calculate the curvature-based surface representation, shape index, for the index, middle, and ring fingers. This representation is used for comparisons to determine subject similarity. Our experiments involve the use of a large data set of range images collected over time. We examine the performance of individual finger surfaces as a biometric identifier as well as the performance when using the three finger surfaces in conjunction. The results of our experiments are presented, which indicate that this approach performs well for a first-of-its-kind biometric technique.


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    Title :

    Personal identification utilizing finger surface features


    Contributors:
    Woodard, D.L. (author) / Flynn, P.J. (author)


    Publication date :

    2005-01-01


    Size :

    277368 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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