The Journal of the Korea Contents Association (한국콘텐츠학회논문지)

The Korea Contents Association (한국콘텐츠학회)
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Iris Recognition Using Vector Summation Of Gradient Orientation Vectors

그래디언트 방향 벡터의 벡터합을 이용한 홍채 인식

  • 최창수 (충북대학교 컴퓨터공학과) ;
  • 유관희 (충북대학교 컴퓨터교육과,정보산업공학과) ;
  • 전병민 (충북대학교 컴퓨터공학과)
  • Published : 2009.08.28
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Abstract

Iris recognition is a biometric technology which can identify a person using the iris pattern. Recently, iris information is used in many fields such as access control and information security. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil. In this paper, we propose a novel method based on vector summation of gradient orientation vectors. Experimental results show that the proposed method reduces processing time with simple vector calculation, requires small feature space and has comparable performance to the well-known previous methods.

홍채인식은 홍채의 무늬 패턴 정보를 이용하여 동일인 여부를 판별하는 생체인식 기술이다. 최근 들어 홍채정보는 출입통제, 정보보안등의 분야에 많이 활용되고 있다. 이러한 홍채 인식 시스템에 있어 조명의 영향이나 동공의 크기 등으로 인해 발생될 수 있는 홍채 패턴의 변화에 대해 무관한 특징을 추출하는 것은 중요한 과제이다. 본 논문에서는 그래디언트 방향 벡터의 벡터합을 이용한 새로운 홍채 인식 방법을 제안한다. 제안된 방법은 간단한 벡터 연산을 통해 특정 추출 시간을 줄였으며 적은 특징량으로 기존의 방법과 대등한 성능을 보임을 실험을 통하여 확인하였다.

Keywords

References

  1. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.15, No.11, pp.1148-1161, 1993. https://doi.org/10.1109/34.244676
  2. R. P. Wildes, "Iris Recognition: An Emerging Biometric Technology," Proceedings of the IEEE, Vol.85, pp.1348-1363, 1997. https://doi.org/10.1109/5.628669
  3. W. W. Boles and B. Boashah, "A Human Identification Technique Using Images of the Iris and Wavelet Transform," IEEE Trans. on Signal Processing, Vol.46, pp.1185-1188, 1998. https://doi.org/10.1109/78.668573
  4. W. Kong and D. Zhang, "Accurate iris segmentation based on novel reflection and eyelash detection model," Proceedings of International Symposium on Intelligent Multimedia, Video and Speech Processing, 2001.
  5. A. Poursaberi and B. N. Araabi, "Iris Recognition for Partially Occluded Images: Methodology and Sensitivity Analysis," EURASIP Journal on Advances in Signal Processing, 2007.
  6. A. Poursaberi and B. N. Araabi, "A Novel Iris Recognition System Using Morphological Edge Detector and Wavelet Phase Features," GVIP, No.6, pp.9-15, 2005.
  7. Y. Chen, S. Dass, and A. Jain, "Localized Iris Image Quality Using 2D Wavelets," Proceedings of International Conference on Biometrics, 2006.
  8. E. Rydgren, T. Ea, F. Amiel, F. Rossant, and A. Amara, "Iris Feature Extraction Using Wavelet Packets," IEEE International Conference on Image Processing. Vol.2, pp.861-864, 2004. https://doi.org/10.1109/ICIP.2004.1419435
  9. C. Sanchez-Avila, R. Sanchez-Reillo, and D. De Martin-Roche, "Iris-Based Biometric Recognition Using Dyadic Wavelet Transform," IEEE AESS System Magazines, Vol.17, No.10, pp.3-6, 2002. https://doi.org/10.1109/MAES.2002.1044509
  10. 배광혁, 김재희, 독립성분분석 방법을 이용한 홍채특징 추출, 연세대학교 대학원 석사학위논문, 2003.
  11. 정대식, 박강령, "극 좌표계 원형 홍채영상에서의 특징 검출에 의한 홍채인식 연구", 대한전자공학회 논문지 SP, 제44권, 제3호, pp.313-325, 2007.
  12. 추현곤, 김회율, "MPEG-7 텍스쳐 서술자의 홍채인식에 대한 성능 비교", 한국정보처리학회, 제11권, 제4호, pp.421-428, 2004. https://doi.org/10.3745/KIPSTB.2004.11B.4.421
  13. T. F. William and R, Michal, "Orientation Histograms for Hand Gesture Recognition," In International Workshop on. Automatic Face and Gesture Recognition, 1995.
  14. D. Lowe, "Distinctive image features from scale invariant key points," In International Journal of Computer Vision, Vol60, pp.91-100, 2004. https://doi.org/10.1023/B:VISI.0000029664.99615.94
  15. K. Mikolajczyk and C. Schmid, "Indexing based on scale invariant interest points," In Proceedings of International Conference on Computer Vision, pp.525-531, 2001. https://doi.org/10.1109/ICCV.2001.937561
  16. D. H. Cho, K. R. Park, D. W. Rhee, Y. G. Kim, and J. H. Yang, "Pupil and Iris Localization for Iris Recognition in Mobile Phones," SNPD 2006, 2006. https://doi.org/10.1109/SNPD-SAWN.2006.58
  17. G. D. John, "Demodulation by Complex-valued Wavelets for Stochastic Pattern Recognition," International Journal of Wavelets,Multiresolution and Information Processing, Vol.1, No.1, pp.1-17, 2003. https://doi.org/10.1142/S0219691303000025
  18. S. Zhenan, W. Yunhong, T. Tieniu, and C. Jiali, "Robust direction estimation of gradient vector field for iris recognition," 17th ICPR, 2004. https://doi.org/10.1109/ICPR.2004.1334375
  19. J. Daugman and G. O. Williams, "A proposed standard for biometric decidability," In Card TechSecureTech, pp.223-224, 1996.
  20. Y. Wang and J. Han, "Iris Recognition Using Independent Component Analysis," Int. Conf. Machine Learning and Cybernetics, pp.18-21, 2005. https://doi.org/10.1109/ICMLC.2005.1527729
  21. http://www.sinobiometrics.com/Databases.htm