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
Conference Name2013 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB)
Source PublicationInternational Conference on Biometrics (ICB)
Conference Date2013
Conference PlaceMadrid, Spain
AbstractVarious 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.
KeywordFingerprint Registration
Indexed ByCPCI-T
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5479
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.College of Mathematics Physics and Information Technology, Zhejiang Normal University
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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