Abstract
A palm, a large inner surface of a hand, contains pattern of ridges and valleys much like a fingerprint. The palmprint is expected to be more distinctive than the fingerprint, since the area of the palm is much larger than that of the finger and the palm has additional distinctive features such as principle lines, ridges, minutiae points, singular points and texture. This paper presents a palmprint recognition algorithm using phase-based image matching. The use of the phase components in 2D (two-dimensional) discrete Fourier transforms of palmprint images makes possible to achieve highly robust palmprint recognition. Experimental evaluation using palmprint images clearly demonstrates an efficient matching performance of the proposed algorithm.
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