An Improved Cross-Matching Algorithm for Fingerprint Images from Multi-type Sensors

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 twolevel 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.

关键词： Biometrics Fingerprint recognition Cross-matching Normalization

作者: Liang Li Ke Lv Ning He

作者单位: College of Computing & Communication Engineering Graduate University of Chinese Academy of Sciences College of Information Beijing Union University Beijing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1493-1496

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）