期刊文献+

基于能量最大响应方向的虹膜识别算法 被引量:2

Iris recognition method based on maximal responding orientation of energy
下载PDF
导出
摘要 为提高虹膜识别算法的正确识别率,给出了基于能量最大响应方向的虹膜识别算法。该算法首先对人眼图像进行预处理得到归一化虹膜图像,并依据归一化虹膜纹理的分布特点,选择多尺度多方向滤波技术对归一化虹膜图像进行分解;然后提取最优分解尺度下像素点的能量最大响应方向数,进行二进制虹膜编码和去噪;最后通过计算两个虹膜编码间的加权海明距离和衡量两者的差异性,给出识别结果。实验证明,在等误率为0.1176时,正确识别率达到99.997%。与经典的虹膜识别算法相比较,该算法具有更高的识别率。 In order to improve the accuracy of iris recognition further,this paper proposed an iris recognition method base on the maximal responding orientation of energy.Firstly,obtained the normalized iris images by preprocessing eye image,selected multiscale and multidirectional filter by the feature of iris texture,decomposed the normalized iris image through the filter.Se-condly,extracted and encoded the maximal responding orientation on the pixel point into a simple binary iris code,performed denosing at the same time. The last,measured the difference of tow iris code through weighted hashiymming distance and gave the recognition results.The experimental results demonstrate that the proposed method has the equal error rate of 0.1176% and the correct recognition rate of 99.997%. Compared with the classical methods, the proposed method has a higher accuracy.
出处 《计算机应用研究》 CSCD 北大核心 2010年第5期1977-1980,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60672078) 辽宁省自然科学基金资助项目(20042080)
关键词 生物特征识别 虹膜识别 多尺度多方向滤波 特征抽取 biometric recognition iris recognition multiscale and multidirectional filter feature extracting
  • 相关文献

参考文献14

  • 1JAIN A,BOLLE R,PAMKANTI S.Biometrics:personal identification in networked society[M].San Francisco:Kluwer Academic Publishers,1999.
  • 2DAUGMAN J G.High confidence visual recognition of persons by a test of statistical independence[J].IEEE Trans on Pattern Analysis and Machine Intelligence,1993,15(11):1148-1161.
  • 3DAUGMAN J G.Statistical richness of visual phase information:update on recognizing persons by iris patterns[J].International Journal of Computer Vision,2001,45(1):25-38.
  • 4DAUGMAN J G.The importance of being random:statistical principles of iris recognition[J].Pattern Recognition,2003,36(2):279-291.
  • 5WILDES R P.Iris recognition:an emerging biometric technology[J].Proceedings of the IEEE,1997,85(9):1348-1363.
  • 6BOLES W W,BOASHAH B.A human identification technique using images of the iris and wavelet transform[J].IEEE Trans on Signal Processing,1998,46(4):1185-1188.
  • 7LIM S,LEE K,BYEON O,et al.Efficient iris recognition through improvement of feature vector and classifier[J].ETRI Journal,2001,23(2):61-85.
  • 8苑玮琦,徐露,林忠华.基于相位一致性最大响应方向的虹膜识别方法[J].光学精密工程,2009,17(1):179-184. 被引量:2
  • 9张凡,冯登国,孙哲南.一种基于模糊提取的虹膜鉴别方案[J].计算机研究与发展,2008,45(6):1036-1042. 被引量:7
  • 10苑玮琦,徐露,林忠华.一种基于人眼图像灰度分布特征的虹膜定位算法[J].光电子.激光,2006,17(2):226-230. 被引量:19

二级参考文献41

共引文献39

同被引文献24

  • 1苑玮琦,徐露,林忠华.一种基于人眼图像灰度分布特征的虹膜定位算法[J].光电子.激光,2006,17(2):226-230. 被引量:19
  • 2陈伏兵,陈秀宏,张生亮,杨静宇.基于模块2DPCA的人脸识别方法[J].中国图象图形学报,2006,11(4):580-585. 被引量:61
  • 3姚鹏,叶学义,庄镇泉,吴亮,李斌.基于局部频率特征和局部方向特征的虹膜识别算法[J].电子学报,2007,35(4):663-667. 被引量:6
  • 4YUAN Xiao-yan,ZHOU Hao,SHI Peng-fei.Iris recognition:a biometric method after refractive surgery[J].Journal of Zhejiang University-Science A(Applied Physics & Engineering),2007,8(8):1227-1231. 被引量:3
  • 5Jaina, Boiler, Pamkantis. Biometrics :personal identification in networked society [ M ]. KluwerAcademic Publishers. 1999 : 1241.
  • 6Daugman J G. The importance of being random : Statistical principles of iris recognition [ J ]. Pattern Recognition,2003,36 (2) :279 - 291.
  • 7Wildes R P. Iris Recognition:An Emerging Biometric Technology [ C ]//Proceedings of the IEEE,1997,85(9) :1348 - 1363.
  • 8Boles W W, Boashah B. A Human Identification Technique Using Images of the Iris and Wavelet Transform [J]. IEEE Trans. on Signal Processing, 1998,46 ( 4 ) : 1185 - 1188.
  • 9Lim S,Lee K,Byeon O,et al. Efficient Iris Recognition through Improvement of Feature Vector and Classifier[J]. ETRI Journal ,2001,23 (2) :61 -85.
  • 10You X,Chen Q,Tang Y Y. Construction of Non-Tensor Product Wavelet and Its Application. Technical Report[R]. Department of Computer Seienee ,Hong Kong Baptist University,2007.

引证文献2

二级引证文献2

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