A Novel Fingerprint Matching Algorithm Using Ridge Curvature Feature

	A Novel Fingerprint Matching Algorithm Using Ridge Curvature Feature
	Li, P; Yang, X; Su, Q; Zhang, YY; Tian, J; Tian, Jie
	2009
会议名称	ADVANCES IN BIOMETRICS
会议录名称	ADVANCES IN BIOMETRICS
页码	607-616
会议日期	2009
会议地点	Alghero, Italy
摘要	Fingerprint matching based on solely minutiae feature ignorethe abundant ridge information in fingerprint images. We proposea novel fingerprint matching algorithm which integrates minutiae featurewith ridge curvature map(RCM). The RCM is approximated by a polynomial model which is computed by Least Square(LS) method.In the matching stage, phase-only correlation matching method is employedto match two RCMs. Then sum fusion rule is selected to combinethe minutiae matching score and the RCM matching score. Experimentsconducted on FVC2002 and FVC2004 databases show that proposed algorithm can obtain more promising performance than solely minutiaebased algorithm and several other multi-feature fusion algorithms.
关键词	Fingerprint Matching Polynomial Model Rcm Phase-only Sum Rule
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5460
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	Li, P,Yang, X,Su, Q,et al. A Novel Fingerprint Matching Algorithm Using Ridge Curvature Feature[C],2009:607-616.