Adaptive Iris Segmentation

In this paper an adaptive iris segmentation algorithm is presented. In the proposed algorithm Otsu Threshold value, average gray level of the image, image size, Hough-Circle search are used for adaptive segmentation of irises. Otsu threshold is used for selecting threshold value in order to determine pupil location. Then Hough circle is utilized for pupillary boundary, and finally gradient search is used for the limbic boundary detection. The algorithm achieved 98% segmentation rate in batch processing of the CASIA version 1 (756 Images) and version 3 (CASIA-IrisV3-Interval, 2655 Images) databases.

[1]  Josef Kittler,et al.  Audio- and Video-Based Biometric Person Authentication, 5th International Conference, AVBPA 2005, Hilton Rye Town, NY, USA, July 20-22, 2005, Proceedings , 2005, AVBPA.

[2]  Okhwan Byeon,et al.  Efficient Iris Recognition through Improvement of Feature Vector and Classifier , 2001 .

[3]  Koray Altunkaya,et al.  Neural network based biometric personal identification with fast iris segmentation , 2009 .

[4]  Rahib Hidayat Abiyev,et al.  Iris Recognition for Biometric Personal Identification Using Neural Networks , 2007, ICANN.

[5]  Jinyu Zuo,et al.  An Automatic Algorithm for Evaluating the Precision of Iris Segmentation , 2008, 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems.

[6]  John Daugman,et al.  Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition , 2003, Int. J. Wavelets Multiresolution Inf. Process..

[7]  Jaihie Kim,et al.  Iris Feature Extraction Using Independent Component Analysis , 2003, AVBPA.

[8]  Richa Singh,et al.  Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[9]  T. Tan,et al.  Iris Recognition Based on Multichannel Gabor Filtering , 2002 .

[10]  Ashok A. Ghatol,et al.  Iris recognition: an emerging biometric technology , 2007 .

[11]  John Daugman,et al.  How iris recognition works , 2002, IEEE Transactions on Circuits and Systems for Video Technology.

[12]  Libor Masek,et al.  Recognition of Human Iris Patterns for Biometric Identification , 2003 .

[13]  F. H. Adler.  Physiology of the eye : clinical application , 1950 .

[14]  Patrick J. Flynn,et al.  Experiments with an improved iris segmentation algorithm , 2005, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05).

[15]  Carmen Sanchez-Avila,et al.  Iris-based biometric recognition using dyadic wavelet transform , 2002 .

[16]  Øivind Due Trier,et al.  Evaluation of Binarization Methods for Document Images , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Lu Xu,et al.  A Rapid Iris Location Method Based on the Structure of Human Eyes , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[18]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[19]  J. Daugman,et al.  Recognizing iris texture by phase demodulation , 1994 .

[20]  Lionel Torres,et al.  Person Identification Technique Using Human Iris Recognition , 2002 .

[21]  Mark J. T. Smith,et al.  Iris-Based Personal Authentication Using a Normalized Directional Energy Feature , 2003, AVBPA.

[22]  John Daugman,et al.  Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns , 2001, International Journal of Computer Vision.

[23]  Yong Wang,et al.  Iris recognition using independent component analysis , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[24]  Boualem Boashash,et al.  A human identification technique using images of the iris and wavelet transform , 1998, IEEE Trans. Signal Process..

[25]  Rishi Gupta,et al.  Iris Recognition System , 2010 .

[26]  Tieniu Tan,et al.  A fast and robust iris localization method based on texture segmentation , 2004, SPIE Defense + Commercial Sensing.

[27]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[28]  Dexin Zhang,et al.  Personal Identification Based on Iris Texture Analysis , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Hiroshi Nakajima,et al.  An Effective Approach for Iris Recognition Using Phase-Based Image Matching , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[30]  John Daugman,et al.  New Methods in Iris Recognition , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[31]  Robert B. Fisher,et al.  Incremental One-Class Learning with Bounded Computational Complexity , 2007, ICANN.

[32]  Sharath Pankanti,et al.  Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society , 1998 .

[33]  Stéphane Mallat,et al.  Zero-crossings of a wavelet transform , 1991, IEEE Trans. Inf. Theory.

[34]  Jaihie Kim,et al.  A Novel Method to Extract Features for Iris Recognition System , 2003, AVBPA.

[35]  Arthur Jampolsky,et al.  PHYSIOLOGY OF THE EYE: Clinical Application—4th Edition. , 1965 .