虹膜识别算法概述
摘要
虹膜识别已经成为近年来的热门研究,由于其可靠性和近乎完美的识别率,虹膜识别已经应用于较多高安全性的领域。虹膜识别系统主要有三个阶段:图像预处理、特征提取和模板匹配。本文对每个阶段的突出算法进行介绍、分析与比较,对虹膜识别系统的进一步发展具有一定的研究价值。
出处
《科技信息》
2012年第26期11-12,共2页
Science & Technology Information
基金
宁夏大学科研基金资助项目(NDZR10-22)
宁夏自然科学基金资助项目(NZ1137)
参考文献15
-
1Daugrnan J G.. How iris recognition works [J] .IEEE Trans. CS- VT, 2004,14(01): 21-30.
-
2Wildes R P. Automated Iris Recognition : an Emerging Biomet- ric Technology[J].IEEE, 1997, 85(09): 1348-1363.
-
3L.Ma, Y. Wang, and T. Tan. Iris recognition using circutar sym- metric filters [C]. International Conferenceon Pattern Recognition, 2002, 1 (02): 414-417.
-
4Ritter N, Cooper J. Locating the iris: A first step to registration and identification [ C ].Proceedings of the 9th IASTED International Con- ference on Signal and Image processing, 2003, 507-512.
-
5Sung Ft, LimJ, Park J, and Lee Y. Iris Recognition Using Collar- ette Boundary Localization [ C ].Proceedings of the 17th International Con- ference on PattemRecognition, 2004,4:857-860.
-
6Teo C C, Ewe H T. An Efficient One-Dimensional Fractal Anal- ysis for Iris Recognition. [C].Proceedings of the 13th WSCG International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2005, 157-160.
-
7J. Cui, Y. Wang, T. Tan, L. Ma, and Z. Sun. A Fast and Robust Iris Localization Method Based on Texture Segmentation [C]. SHE De- fense and Security Symposium, 2004,vol.5404, pp. 401-408.
-
8Y. Chen, S. D0_ss, and A. Jain. Localized Iris Image Quality Using 2D Wavelets [C].Proceedings of International Conference on Biometrics, 2006.
-
9Kong W, Zhang D .Accurate iris segmentation based on novel re- flection and eyelash detection model[C].Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and peech Processing, 2001.
-
10Y. Zhu, T. Tan, and Y. Wang. Biometric Personal Identification Based on Iris Patterns [C]. Proceedings of the 15th International Confer- ence on Pattern Recognition, 2000,vol. 2, pp. 2801-2804.
-
1孔潇,沈兰荪,毋立芳.一种基于特征提取和模板匹配的人脸检测算法[J].测控技术,2003,22(5):18-21. 被引量:2
-
2赵英男,刘正东,杨静宇.一种基于Gabor滤波器的车型识别方法[J].计算机工程,2005,31(22):172-174. 被引量:4
-
3李刚.德国百格拉公司机器人在工件检测中的应用[J].华中科技大学学报(自然科学版),2004,32(S1):201-203. 被引量:1
-
4顾晓敏,梅雪,林锦国.多姿态小目标人脸检测算法研究[J].计算机工程与设计,2009,30(20):4668-4670.