Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 179-182.doi: 10.11896/j.issn.1002-137X.2016.11A.039

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Fingerprint Classification Approach Based on Orientation Descriptor

ZHU Zhi-dan, MA Tin-huai and MEI Yuan   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Fingerprint classification which is aimed to reduce the number of comparisons that are required to be performed in a large fingerprint database by classifying fingerprints into predefined classes is a significant technique of the fingerprint identification system.Inspired by existing literature,a new algorithm of fingerprint classification named as large-scale orientation field descriptor was proposed in this paper.The algorithm describes approximate orientation pattern near the core point by extracting the direction of the nodes belonging to a large-scale annular mesh structure surrounding the core point as feature vector.Because of the simple and efficient feature extraction,experiments show that comparing with FingerCode,the proposed method achieves similar classification accuracy with 20 times computation speed.

Key words: Fingerprint identification,Fingerprint classification,Orientation field,Singular point,Orientation descriptor

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