Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression

	Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression
	Cao, K; Yang, X; Tian, J; Zhang, YY; Li, P; Tao, XQ; Tian, Jie
	2009
会议名称	ADVANCES IN BIOMETRICS
会议录名称	ADVANCES IN BIOMETRICS
页码	617-626
会议日期	2009
会议地点	Italy
摘要	This paper proposes a novel minutiae-based fingerprint matching algorithm.A fingerprint is represented by minutiae set and sampling points on all ridges. Therefore, the foreground of a fingerprint image can be accurately estimated by the sampling points. The similarity between two minutiae is measured by two parts: neighboring minutiae which are different in minutiae pattern and neighboring sampling points which are different in orientation and frequency.After alignment and minutiae pairing, Nine features are extracted to represent the matching status and penalized logistic regression (PLR) is adopted to calculate the matching score. The proposed algorithm is evaluated on fingerprint databases of FVC2002 and compared with the participants in FVC 2002. Experimental results show that the proposed algorithm achieves good performance and ranks 5th according to average equal error rate.
关键词	Minutia Fingerprint Matching Penalized Logistic Regression Ridge
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5458
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
推荐引用方式 GB/T 7714	Cao, K,Yang, X,Tian, J,et al. Fingerprint Matching Based on Neighboring Information and Penalized Logistic Regression[C],2009:617-626.

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