期刊文献+

基于Snake模型的虹膜定位算法 被引量:4

Iris Location Algorithm Based on Snake Model
下载PDF
导出
摘要 虹膜识别被认为是目前最准确可靠的生物特征识别方法.快速、准确地定位虹膜是虹膜识别系统的关键.提出一种基于Snake模型的虹膜定位算法:采用Canny检测算子定位虹膜内边缘,运用Snake模型锁定虹膜外边缘.实验表明,该方法速度快、精度高,并且具备良好的鲁棒性. Iris recognition is regarded as the most reliable and accurate blometric identification system available. The speed and accuracy of iris localization is crucial in an iris recognition system. In this paper, a new iris localization algorithm based on snake model was proposed: the inner boundary is found using Canny edge detector and the outer boundary is localized by Snake model. Extensive experimental results show that the method has satisfying performance both in speed and in precision, also good robustness.
出处 《小型微型计算机系统》 CSCD 北大核心 2006年第8期1567-1569,共3页 Journal of Chinese Computer Systems
基金 国家自然科学基金项目(60075019)资助 湖南省自然科学基金项目(05JJ30123)资助 湖南省教育厅科学(05C246)资助.
关键词 虹膜识别 生物特征识别 虹膜识别系统 SNAKE模型 虹膜定位 Canny检测算子 iris recognition biometric iris recognition system snake model iris localization canny detector
  • 相关文献

参考文献7

  • 1Mansfield T, Kelly G, Chandler D. Biometric product testing final report [J]. National Physical Laboratory of UK , 2001,7(1):7-12.
  • 2Ma Li, Wang Yun-hong, Tan Tie-niu. Development and status of iris recognition[C]. In: Proc. 3th China Conf. Biometrics Recognition, Xi'an, 2002. 137-143.
  • 3John Daugman. How iris recognition works[J]. IEEE Trans.on Circuit and Systems for Video Technology, 2004,14(1):21-30.
  • 4John Canny. Finding a computational approach to edge detection [J]. IEEE Trans. Pattern Analysis and Machine Intelligence, 1986,PAMI-8(1): 679-697.
  • 5Kass M, Witkin A, Terzopoulos D. Snakes: active contour models[A]. The 1st International Conference of Computer Vision[C], 1987,259-268.
  • 6Williams D J, Shah M. A fast algorithm for active contours and curvature estimation[J]. CVGIP: Image Understanding, 1992, 55(1):14-26.
  • 7Chinese Academy of Sciences-Institute of Automation. Database of 756 greyscale eye images [EB/OL]. http://www.sinobio-metrics.com. 2003,Version 1.0.

同被引文献28

  • 1时贺,赵于前,王小芳.交互式GACV模型的肿瘤图像分割[J].中国医学物理学杂志,2011,28(3):2624-2627. 被引量:6
  • 2张仁彦,赵国良.一种基于区域标记的虹膜内边缘定位新算法[J].海军工程大学学报,2005,17(4):18-21. 被引量:3
  • 3王畅,李峰,成培,熊昊翔.改进的Snake算法在虹膜定位中的应用[J].电子技术应用,2006,32(10):31-33. 被引量:2
  • 4Daugman J.How iris recognition works[J].IEEE Trans on Circuit and Systems for Video Technology,2006,14( 1 ):21-30.
  • 5Wildes R EAutomated,non-invasive iris recognition system and method[C] .US :Tatent, 1996.
  • 6Kass M,Witldn M,Terzopoulos D.Snakes:Active contour models [J].Intemational Journal of Computer Vision, 1987,1 (4):321-331.
  • 7Williams D J, Shah M.A fast algorithm for active contours and curvature estimation [J]. CVGIP: Image Understanding, 1992,55 (1):14-26.
  • 8扬扬.自然景物环境下运动目标的自动跟踪方法[D].哈尔滨工业大学,1998.
  • 9Terzopolous D, Szeleski R. Tracking with Kalman snakes [M]. Cambridge,Massachusetts:MIT Press,1992.
  • 10Lie Wen-Nung, ChuangCheng-Hung. Fast and accurate snake model for object contour detection[J].Electronics Letters,2001, 37(10):624-626.

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部