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Fingerprint matching depends on the comparison of the characteristic of local ridges and their relationships. Widely used local ridge's characteristics, called minutiae in automatic fingerprint identification systems, are ridge termination and bifurcation,. Most of the existing automatic fingerprint verification systems are based on minutiae features (ridge bifurcation and ending). Such systems first detect the minutiae in a fingerprint image and then match the input minutiae set with the stored template. Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most-well-known and widely used method for fingerprint matching.
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