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A Study on Extraction of Irregular Iris Patterns

비정형 홍채 패턴 분리에 관한 연구

  • 원정우 (홍익대학교 전자전기공학부) ;
  • 조성원 (홍익대학교 전자전기공학부) ;
  • 김재민 (홍익대학교 전자전기공학부) ;
  • 백강철 (㈜바스코리아)
  • Published : 2008.04.25

Abstract

Recently, biometric systems are of interest for the reliable security system. Iris recognition technology is one of the biometric system with the highest reliability. Various iris recognition methods have been proposed for automatic personal identification and verification. These methods require accurate iris segmentation for successful processing because the iris is a small part of an acquired image. The iris boundaries have been parametrically modeled and subsequently detected by circles or parabolic arcs. Since the iris boundaries have a wide range of edge contrast and irregular border shapes, the assumption that they can be fit to circles or parabolic arcs is not always valid. In some cases, the shape of a dilated pupil is slightly different from a constricted one. This is especially true when the pupil has an irregular shape. This is why this research is important. This paper addresses how to accurately detect iris boundaries for improved iris recognition, which is robust to noises.

최근 정보화 시대에 발맞추어 보안에 관한 중요성이 증가하고 있다. 따라서 지문, 장문, 서명, 홍채 인식과 같은 생체 인식시스템에 대한 관심이 급증하고 있고, 그 중에서 가장 신뢰성과 보안성에서 뛰어난 홍채 인식에 대한 연구가 활발히 진행중이다. 홍채 인식의 환한 연구는 많이 진행되어 왔지만 홍채 인식의 가장 큰 이슈는 홍채 영역 분할과 특징 추출로 할 수 있다. 본 논문에서는 곡선에 유연한 곡선 검출기를 이용하여 기존 원형 검출기가 갖는 문제점을 극복하고, 보다 정확한 홍채 영역 분할을 이루었다. 따라서 주변 환경의 변화에 신속히 대처할 수 있고, 기하학적인 경계 검출에 유용하다.

Keywords

References

  1. Anil Jain et al, "Introduction to biometrics", Biometrics-Personal Identification in Networked Society, Kluwer Academic Publishers, pp. 1-41, 1999
  2. F. H. Adler, Physiology of the Eye : Clinical Application, The C. V. Mosby Company, 1995
  3. J. G. Daugman, "High confidence visual recognition of persons by a test of statistical independence", IEEE Transactions on Pattern Anaysis and Machine Intelligence, Vol.15, No.11, pp.1148-1161, 1993 https://doi.org/10.1109/34.244676
  4. J. G. Daugman and Cathryn Downing, "Recognizing Iris Texture by Phase Demodulation", The Institution of Electrical Engineers, 1994
  5. J. G. Daugman, "Biometrics personal identification system based on iris analysis", U.S Patent 5291560, 1994
  6. J. G. Daugman, "High confidence Recognition fo Persons by Rapid Analysis of Iris Texture", IEEE Conference Publication, No.408, pp.244-251, May 1995
  7. John Daugman, "High Confidence Recognition of Persons by Iris Patterns", IEEE 35th International Carnahan Conference on Security Technology, pp. 254-263, 2001
  8. Richard P. Wildes, "Iris Recognition : An Emerging Biometric Technology", IEEE Proceedings, Vol. 85, No. 9, pp. 1348-1363, September 1997 https://doi.org/10.1109/5.628669
  9. R. P. Wildes, J. C. Asmuth, and G. L. Green, "A system for automated iris recognition", in Proc. IEEE Workshop on Application of Computer Vision, Sarasota, pp.121-128, 1994
  10. Y. Zhu, T. Tan and Y. Wang, "Biometric Person Identification based on Iris Pattern". ICPR2000, pp.805-808, 2000
  11. D. de Martin-Roche, C. Sanchez-Avila, and R. Sanchez-Reillo, "Iris Recognition for Biometric Identification using Dyadic Wavelet Transform Zero-Crossing," Security Technology, 2001 IEEE 35th International Carnahan Conference, pp.272-277, 2001
  12. W. W. Boles and B. Boashash, "A Human Identification Technique Using Images of the Iris and Wavelet Transform", IEEE Transactions on Signal Processing, Vol. 46, No. 4, pp. 1185-1188, April 1998 https://doi.org/10.1109/78.668573
  13. David M. Mount and Nathan S. Netanyahu, "Efficient Randomized Algorithm for Robust Estimation of Circular Arcs and Aligned Ellipses", Computational Geometry, Vol.19, pp.1-13, Jun 2001 https://doi.org/10.1016/S0925-7721(01)00009-8
  14. Williams, D., and Shah, M.: 'A Fast Algorithm for Active Contours and Curvature Estimation', CVGIP: Image Understanding. Vol. 55, No. 1, pp. 14-26. 1992 https://doi.org/10.1016/1049-9660(92)90003-L
  15. M. Kass, A Witkin, and D. Terzopoulos," Snakes : Active Contour Models", Proc. Int'l Conf. Computer Vision, ICCV87, London, 1987
  16. Williams, D., and Shah, M.: 'A Fast Algorithm for Active Contours and Curvature Estimation', CVGIP: Image Understanding. Vol. 55, No. 1, pp. 14-26. 1992 https://doi.org/10.1016/1049-9660(92)90003-L