CASIA OpenIR  > 中国科学院分子影像重点实验室
A Hierarchical Registration Algorithm for Fingerprints from Multi-type Capture Sensors
Zang, Yali1; Yang, Xin1; Jia, Xiaofei1; Zhang, Ning1; Tian, Jie1; Zhu, Xinzhong2
2013
会议名称2013 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB)
会议录名称International Conference on Biometrics (ICB)
会议日期2013
会议地点Madrid, Spain
摘要Various types of fingerprint sensors introduce large variances of fingerprints in distortion patterns and noise, which greatly challenge the traditional matching algorithms. In this paper, we develop a hierarchical registration algorithm to handle the non-linear distortion among multiple kinds of sensors. The transformation model is initially estimated with the traditional rigid model and gradually upgraded to affine and quadratic model. The model upgradation is carefully designed to obtain the trade-off between the fitting accuracy of high-level model and the facilities of lowlevel model. We finally establish the minutiae correspondence with a modified ICP (Iterative Closest Point) method. Experimental results demonstrate that our algorithm effectively improves the performance of cross-matching, especially for those databases in different modes of acquisition.
关键词Fingerprint Registration
收录类别CPCI-T
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/5479
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.College of Mathematics Physics and Information Technology, Zhejiang Normal University
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zang, Yali,Yang, Xin,Jia, Xiaofei,et al. A Hierarchical Registration Algorithm for Fingerprints from Multi-type Capture Sensors[C],2013.
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