Fingerprint singular points extraction based on the properties of orientation model

doi:10.1016/S1005-8885(10)60034-9

中国邮电高校学报(英文) ›› 2011, Vol. 18 ›› Issue (1): 98-104.doi: 10.1016/S1005-8885(10)60034-9

• Artificial Intelligence • 上一篇下一篇

Fingerprint singular points extraction based on the properties of orientation model

苏菲¹,孙鹏²,王波涛²,蔡安妮³

1. 北京邮电大学信息与通信工程学院
2.
3. 北京邮电大学

收稿日期:2010-07-12 修回日期:2010-11-11 出版日期:2011-02-28 发布日期:2011-02-28
通讯作者: 苏菲 E-mail:sufei@bupt.edu.cn
基金资助:
教育部科学研究重点项目;国家自然科学基金重点项目;国家自然基金课题

Fingerprint singular points extraction based on the properties of orientation model

Received:2010-07-12 Revised:2010-11-11 Online:2011-02-28 Published:2011-02-28
Contact: Fei Su E-mail:sufei@bupt.edu.cn
Supported by:
The Key Project of The Ministry of Education of P. R. China;State Key Program of National Natural Science of China

摘要/Abstract

摘要：

A novel method for fingerprint singular points extraction including location and orientation is proposed based on some properties of the orientation field models. Singular points are located by clustering the results of corner detection. Then, through examining the sub-block orientation fields at a number of selected positions on concentric circles centered about the located singular point, an iterative method based on the orientation differences is proposed to compute the orientation of the core point. Experimental results on NIST4 and FVC2002 four databases demonstrate the proposed method can consistently locate singular points with the high accuracy. The location and orientation of the detected singular points can be used for alignment (translation and rotation) parameters in fingerprint matching.

关键词:

fingerprint, orientation model, singular points, core, delta

Abstract:

Key words:

fingerprint, orientation model, singular points, core, delta

参考文献

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Fingerprint singular points extraction based on the properties of orientation model

Fingerprint singular points extraction based on the properties of orientation model

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