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This paper presents a novel approach for hand matching that achieves significantly improved performance even in the presence of large hand pose variations. The proposed method utilizes a 3-D digitizer to simultaneously acquire intensity and range images of the user's hand presented to the system in an arbitrary pose. The approach involves determination of the orientation of the hand in 3-D space followed...
Personal authentication using hand images, especially with those acquired from the peg-free imaging, has very high user-acceptance and has invited lot of attention in the literature. This paper investigates a new approach to achieve the performance improvement by incorporating user quality into the matching stage. The proposed method of extracting user quality is based on the confidence of generating...
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