文献类型：会议论文

英文题名：An improved cross-matching algorithm for fingerprint images from multi-type sensors

作者：Li, Liang[1]; Lv, Ke[1]; He, Ning[2]

第一作者：Li, Liang

通讯作者：Li, L.

机构：[1] College of Computing and Communication Engineering, Graduate University, Chinese Academy of Sciences, Beijing, China; [2] College of Information, Beijing Union University, Beijing, China

第一机构：College of Computing and Communication Engineering, Graduate University, Chinese Academy of Sciences, Beijing, China

会议论文集：Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011

会议日期：October 15, 2011 - October 17, 2011

会议地点：Shanghai, China

语种：英文

外文关键词：Binary images - Biometrics - Palmprint recognition

摘要：This paper proposes a novel cross-matching algorithm for fingerprint images from multi-type fingerprint sensors. Our method can handle the difference of fingerprint images which results by the different characteristics of fingerprint sensors. By using core detection based fingerprint registration and a two-level transformation - image space normalization and feature space normalization, all feature points of fingerprint images are mapped into one feature space. Then the feature points extracted in different sensor images are matched to calculate similarity in the same feature space. Experimental results show that better accuracy can be achieved on crossing matching image dataset after normalization. Our method presents the good potential on image datasets of optical sensors, thermal slice sensors and capacity sensors. ? 2011 IEEE.