Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
A Hierarchical Registration Algorithm for Fingerprints from Multi-type Capture Sensors | |
Zang, Yali1![]() ![]() ![]() | |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2013ICB118.pdf(862KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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