A BIOMETRIC IDENTIFICATION SYSTEM BASED ON THE FUSION OF HAND AND PALM FEATURES

This paper describes the design and development of a prototype system for the automatic identification of an individual based on the fusion of palm and hand geometry features. Information fusion at the feature extraction and at the confidence level, where the matching scores reported by three matchers are combined, is discussed. After training with the template files of 50 persons, the system was tested with the template files of 61 persons not “seen” during the training phase. The test performance, FAR = 0.0 % and FRR = 1.7 %, suggests that the system can be used in medium/high security Internet environments.

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