标题:Iris detection and marking based on Haar features
作者:Lu, Peng ;Xiang, Hui ;Dai, Yanfei ;Zhang, Wenxiu
通讯作者:Xiang, H
作者机构:[Lu, Peng ;Xiang, Hui ;Dai, Yanfei ;Zhang, Wenxiu ] School of Computer Science and Technology, Shandong University, Jinan, 250101, China
会议名称:2010 International Conference on Audio, Language and Image Processing, ICALIP 2010
会议日期:23 November 2010 through 25 November 2010
来源:ICALIP 2010 - 2010 International Conference on Audio, Language and Image Processing, Proceedings
出版年:2010
页码:518-522
DOI:10.1109/ICALIP.2010.5684518
摘要:This paper presents an iris detection and marking method based on Haar features from images of figures. We firstly apply Haar-features detection algorithm and Canny edge detection algorithm, to the image, then scan and extend the contours in particular areas to get an initial U-Curves marking iris contours, and then carries on sample expanding and noise reduction to get optimized sample points. At last, the iris contour with optimized sample points is fitted to an ellipse using least squares method, thus get the iris position. Experimental results show that our approach U-Curves improve the accuracy of iris detection and marking. ©2010 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79851491565&doi=10.1109%2fICALIP.2010.5684518&partnerID=40&md5=4168cc503862a04df21c6aea0b38c88b
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