基于方向场的形变指纹检测

doi:10.3969/j.issn.0255-8297.2019.06.002

Abstract

Abstract: Automatic fingerprint identification system (AFIS) has been widely used in visas, customs, criminal investigations. In order to avoid AFIS-based identification, some criminals change the ridge structure of their fingerprints by cutting, transplanting, burning, etc. The resulting fingerprints are called altered fingerprint. At present, AFIS can't effectively detect altered fingerprints. In this paper, an altered fingerprint detection method based on orientation field discontinuity and orientation field difference map discontinuity is proposed, and an operator for extracting this discontinuity is proposed. Firstly, the orientation field of fingerprint and its difference map are calculated, and the difference map is enhanced. Then, the proposed operator extracts the discontinuous features from the orientation field and the enhanced difference map. Finally, based on the discontinuous features, altered fingerprints and real fingerprints are classified using support vector machines (SVM). In addition, this paper also builds an altered fingerprint database, and tests the performance of the method on this library. The results show that the proposed scheme can detect the altered fingerprint effectively.

Key words: orientation field, discontinuity, difference map, fingerprint detection

CLC Number:

TP391

YANG Gaoqiang, LI Sheng, ZHANG Xinpeng. Altered Fingerprint Detection Based on Orientation Field[J]. Journal of Applied Sciences, 2019, 37(6): 775-782.

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URL: https://www.jas.shu.edu.cn/EN/10.3969/j.issn.0255-8297.2019.06.002

https://www.jas.shu.edu.cn/EN/Y2019/V37/I6/775

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Altered Fingerprint Detection Based on Orientation Field

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