Reliable algorithm for iris segmentation in eye image

Image and Vision Computing

Volumn 28, Issue 2, 2010, Pages 231-237

  Sankowski, Wojciech ^a   Grabowski, Kamil ^a   Napieralska, Małgorzata ^a   Zubert, Mariusz ^a   Napieralski, Andrzej ^a  

^a LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Eyelids localization; Iris localization; Iris segmentation

Indexed keywords

EYE IMAGES; EYELIDS LOCALIZATION; FILLING IN; IRIS LOCALIZATION; IRIS SEGMENTATION; NOVEL ALGORITHM; VISIBLE AND NEAR INFRARED;

ALGORITHMS;

EID: 70449623724     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.05.014     Document Type: Article

References (16)

1. H. Proença, L.A. Alexandre, UBIRIS: a noisy iris image database, in: Proceedings of ICIAP 2005 - International Conference on Image Analysis and Processing, vol. 1, 2005, pp. 970-977.
2. Proença H., and Alexandre L.A. Iris segmentation methodology for non-cooperative recognition. IEE Proceedings Vision, Image & Signal Processing 153 2 (2006) 199-205
3. H. Proença, L. A. Alexandre, The NICE.I: Noisy Iris Challenge Evaluation - Part I, in: Proceedings of the IEEE First Internation Conference on Biometrics: Theory, Applications and Systems - BTAS 2007, Washington, DC, USA, Sept. 27-29, 2007.
4. The NICE.I contest homepage. Available from: .
5. Sankowski W., Grabowski K., Zubert M., and Napieralska M. Iris Finder - Program for Reliable Iris Localization in Images Taken Under Visible Light (2006), MIT, Poland
6. Sankowski W., and Grabowski K. Improvements in Iris Finder - Program for Reliable Iris Localization in Images Taken Under Visible Light (2006), OWD, Poland
7. W. Sankowski, K. Grabowski, M. Napieralska, M. Zubert, Eyelids Localization Method Designed for Iris Recognition System, in: International Conference Mixed Design of Integrated Circuit and Systems - MIXDES'07, Poland, June 2007, pp. 622-627.
8. Daugman J. High confidence visual recognition of persons by a test of statistical independence. Transactions on Pattern Analysis and Machine Intelligence (1993) 1148-1161
9. Daugman J. How iris recognition works. IEEE Transactions on CSVT 14 1 (2004) 21-30
10. K. Grabowski, W. Sankowski, M. Zubert, M. Napieralska, Reliable iris localization method with application to iris recognition in near infrared light, in: International Conference Mixed Design of Integrated Circuit and Systems - MIXDES'06, Poland, June 22-24, 2006, pp. 684-687.
11. Gonzalez R.C., and Woods R.E. Digital Image Processing. second ed. (2002), Prentice-Hall
12. F. Rossant, M.T. Eslava, T. Ea, F. Amiel, A. Amara, Iris identification and robustness evaluation of a wavelet packets based algorithm, in: IEEE International Conference on Image Processing 2005, vol. 3, 2005, pp. 257-260.
13. University of Bath Iris Image Database. Available from: .
14. T. A. Camus, R. P. Wildes, Reliable and fast eye finding in close-up images, in: Proceedings of the IEEE International Conference on Pattern Recognition, 2002, pp. 389-394.
15. Wildes R.P. Iris recognition: an emerging biometric technology. Proceedings of the IEEE 85 9 (1997) 1348-1363
16. J. Zuo, N.K. Ratha, J.H. Connell, A New Approach for Iris Segmentation, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, June 23-28, 2008, pp. 1-6.