Fingerprint Minutiae Matching Using Adjacent Feature Vector
نویسندگان
چکیده
Minutia matching is the most popular approach to fingerprint verification. In this paper, we propose a novel fingerprint feature named Adjacent Feature Vector (AFV) for fingerprint matching, which consist of four adjacent relative Features of a minutiae and the ridge counts between the minutiae and the four adjacent point. In the first stage, AFV is used to find possible minutiae pairs. Then one minutiae set is rotated and translated according to two minutiae. This is followed by a preliminary matching to ensure reliable matching. At last, a fine matching is performed to overcome possible distortion. Experiments have shown the promising results of the proposed algorithm.
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