Fingerprint matching by incorporating minutiae discriminability

	Fingerprint matching by incorporating minutiae discriminability
	Cao, Kai; Liu, Eryun; Pang, Liaojun; Liang, Jimin; Tian, Jie
	2011
会议名称	2011 International Joint Conference on Biometrics, IJCB 2011
会议录名称	International Joint Conference on Biometrics (IJCB)
会议日期	2011
会议地点	Washington
摘要	Traditional minutiae matching algorithms assume that each minutia has the same discriminability. However, this assumption is challenged by at least two facts. One of them is that fingerprint minutiae tend to form clusters, and minutiae points that are spatially close tend to have similar directions with each other. When two different fingerprints have similar clusters, there may be many well matched minutiae. The other one is that false minutiae may be extracted due to low quality fingerprint images, which result in both high false acceptance rate and high false rejection rate. In this paper, we analyze the minutiae discriminability from the viewpoint of global spatial distribution and local quality. Firstly, we propose an effective approach to detect such cluster minutiae which of low discriminability, and reduce corresponding minutiae similarity. Secondly, we use minutiae and their neighbors to estimate minutia quality and incorporate it into minutiae similarity calculation. Experimental results over FVC2004 and FVC-onGoing demonstrate that the proposed approaches are effective to improve matching performance.
关键词	Fingerprint Identification Image Matching Fingerprint Images Fingerprint Matching
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5431
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, Kai,Liu, Eryun,Pang, Liaojun,et al. Fingerprint matching by incorporating minutiae discriminability[C],2011.

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