COMBINING EXCLUSIVE AND CONTINUOUS FINGERPRINT CLASSIFICATION (TA-L3)

Author(s) : Lifeng Sha (The Chinese University of Hong Kong, Hong Kong) Xiaoou Tang (The Chinese University of Hong Kong, Hong Kong)

Abstract : For efficient fingerprint matching, we propose to combine the advantage of exclusive and continuous fingerprint classification. We develop two combined fingerprint classification methods. The first method classify a fingerprint into arch, left loop, right loop, tented arch or whorl class, then perform a continuous fingerprint classification in each class using the global rotation of the ridge flows or the distances between core points and delta points. The second method first classify a fingerprint into arch, left loop, right loop or whorl class using the direction image around the reference point, and then perform a continuous fingerprint classification in each class using the FingerCode. Both methods can reduce fingerprint search time by nearly 95%.

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