A hand-based personal authentication using a coarse-to-fine strategy

Abstract Biometrics-based verification is an effective approach to personal authentication using biological features extracted from the individual. In this paper, we propose specific verification technology by making use of hand-based features. Two hand-based features, the hand geometry and the palmprint, are simultaneously grabbed by the CCD camera-based devices. Basically, geometrical features of the hands are used to roughly verify the identity. The samples possessing the confused hand shapes should be to re-check by the palmprint features. First, the crucial points and the ROI of palmprint are determined in the preprocessing stage. The hand shape features of length 11 are computed from these detected points. Next, the multi-resolutional palmprint features are extracted from the ROI and the three middle fingers. In that way the reference vectors are obtained for computing the similarity values in various resolutions. In addition, the various verified results in multiple resolutions are integrated to achieve a better performance by using the positive Boolean function (PBF) and the bootstrapping method. Experimental results were conducted to show the effectiveness of our proposed approaches.