Abstract
As a global feature of fingerprints,Singular Point(SP)plays important roles in model based fingerprint orientation computing,synthesis fingerprint,fingerprint classification,fingerprint alignment and so on.This paper introduces a new feature called Orientation Abundance Degree(OAD)based on fingerprint's orientation segmentation,and proposes a new method for rapid detection of fingerprint's SP by using OAD.In this method,fingerprint's orientation is partitioned into a series of non-overnapping homogeneous areas firstly;then SPs are rapidly localized through edges detection of homogeneous areas and end-points extraction of edges;finally,the types of SPs are distinguished according to the characteristic of OAD.Experiments show the efficiency of the new method.
Published Version
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