基于非线性尺度空间的非理想虹膜边界定位

doi:10.3969/j.issn.1000-436x.2014.03.024

Journal on Communications ›› 2014, Vol. 35 ›› Issue (3): 208-215.doi: 10.3969/j.issn.1000-436x.2014.03.024

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Nonlinear scale-space based boundary localization for nonideal iris

Hong-lin WAN^1,²,Bao-sheng LI³,Min HAN⁴,Deng-wang LI¹

¹ School of Physics and Electronic Science,Shandong Normal University,Jinan 250014,China
² School of Computer Science and Technology,Southeast University,Nanjing 210018,China
³ Shandong Cancer Hospital,Jinan 250117,China
⁴ School of Information Science and Engineering,Shandong University,Jinan 250100,China

Online:2014-03-25 Published:2017-08-17
Supported by:
The National Natural Science Foundation of China;Independent Innovation Program of University of Jinan;The Natural Science Foundation of Shandong Province;The Open Project of State Key Lab

Abstract

Abstract:

A nonlinear scale-space based localization method of nonideal iris boundaries was proposed.The method eliminates small-scaled geometric structures while preserving large-scaled iris boundaries by nonlinear diffusions with the scale-evolution property.Moreover it combines such diffusions with the frame of multiresolution analysis,and achieves fast and effective iris boundary detection.Experimental results indicate that compared with the classical methods,the proposed algorithm extract nonideal iris boundaries accurately and efficiently with overcoming the disadvantageous influences of the nonideal factors.

Key words: iris boundary localization, biometrics, nonlinear scale-space, partial differential equations

Hong-lin WAN,Bao-sheng LI,Min HAN,Deng-wang LI. Nonlinear scale-space based boundary localization for nonideal iris[J]. Journal on Communications, 2014, 35(3): 208-215.

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[1]	JAIN A , ROSS A , PANKANTI S . Biometrics:a tool for information security[J]. IEEE Trans Information Forensics and Security, 2006,1(2): 125-143.
[2]	DAUGMAN J . How iris recognition works[J]. IEEE Trans Circuits and Systems for Video Technology, 2004,14(1): 21-30.
[3]	BOWYER K , HOLLINGSWORTH K , FLYNN P . Image-understanding for iris biometrics:a survey[J]. Computer Vision and Image Understanding, 2008,110(2): 281-307.
[4]	DAUGMAN J . High confidence visual recognition of persons by a test of statistical independence[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1993,15(11): 1148-1161.
[5]	WILDES R . Iris recognition:an emerging biometrics technology[A]. Proc IEEE[C]. Princeton,NJ,USA, 1997,85(9): 1348-1363.
[6]	BOLES W , BOASHAH B . A human identification technique using images of the iris and wavelet transform[J]. IEEE Trans Signal Processing, 1998,46(4): 1185-1188.
[7]	DAUGMAN J . New methods in iris recognition[J]. IEEE Trans System,Man,and Sybernetics-Part B:Cybernetics, 2007,37(5): 1167-1175.
[8]	YU L , ZHANG D , WANG K , et al. The relative distance of key point based iris recognition[J]. Pattern Recognition, 2007,40(2): 423-430.
[9]	PROEN?A H , ALEXANDRE H . Iris segmentation methodology for non-cooperative recognition. IEEE Proc VISP, Covilha,Portugal, 2006,153(2): 199-205.
[10]	PUNDLIK S , WOODARD D , BIRCHFIELD S . Non-ideal iris segmentation using graph cuts[A]. Proc IEEE CVPR[C]. Anchorage,Alaska,USA, 2008. 1-6.
[11]	HE Z , TAN T , SUN Z , et al. Toward accurate and fast iris segmentation for iris biometrics[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2009,31(9): 1670-1684.
[12]	JARJES A , WANG K , MOHAMMED G J . A new iris segmentation method based on improved snake model and angular integral projection[J]. Research Journal of Applied Science,Engineering and Technology, 2011,3(6): 558-568.
[13]	ROY K , BHATTACHARYA P , SUEN C Y . Iris segmentation using variational level set method[J]. Optics and Laser in Engineering, 2011,49(1): 578-588.
[14]	PERONA P , MALIK J . Scale-space and edge detection using anisotropic diffusion[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1990,2(7): 629-639.
[15]	YOU Y , TANNENBAUM A , KAVEH M . Behavioral analysis of anisotropic diffusion in image processing[J]. IEEE Trans Image Processing, 1996,5(11): 1539-1553.
[16]	DO M , VETTERLI M . Framing pyramids[J]. IEEE Trans Signal Processing, 2003,51(9): 2329-2342.
[17]	RARCE G , TIAN M . Order statistic filter banks[J]. IEEE Trans Image Processing, 1996,5(6): 827-837.
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数据库	本文方法	方法1	方法2
CASIA-V3-Interval	98.29	96.84	93.32
MMU1	98.83	96.67	94.19
Ubiris 1.0	98.07	95.35	94.51

数据库	本文方法	方法1	方法2
CASIA-V3-Interval	0.78	1.17	2.60
MMU1	0.54	1.02	2.43
Ubiris 1.0	0.21	0.48	0.98

Nonlinear scale-space based boundary localization for nonideal iris

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