Efficient Iris Recognition through Improvement of Feature Vector and Classifier

  • Received : 2000.05.08
  • Published : 2001.06.30

Abstract

In this paper, we propose an efficient method for personal identification by analyzing iris patterns that have a high level of stability and distinctiveness. To improve the efficiency and accuracy of the proposed system, we present a new approach to making a feature vector compact and efficient by using wavelet transform, and two straightforward but efficient mechanisms for a competitive learning method such as a weight vector initialization and the winner selection. With all of these novel mechanisms, the experimental results showed that the proposed system could be used for personal identification in an efficient and effective manner.

Keywords

References

  1. Physiology of the Eye: Clinical Application Adler, F.H.
  2. SPIE Proc. Geometric Methods in Computer Vision v.1570 Recognizing Human Eyes Hallinan, P.W.
  3. Iris recognition system Flom, L.;Safir, A.
  4. IEEE Trans. on Pattern Analysis and Machine Intelligence v.15 no.11 High Confidence Visual Recognition of Persons by a Test of Statisical Independence Daugman, John G.
  5. IEEE Aerospace and Electronics Systems Magazine v.12 no.4 Iris Recognition Technology Williams, G.O.
  6. Proc. of the IEEE v.85 no.9 Iris Recognition: An Emerging Biometric Technology Wildes, R.P.
  7. Proc. of the Second IEEE Workshop on Applications of Computer Vision A System for Automated Iris Recognition Wildes, R.P.;Asmuth, J.C.(et al.)
  8. IEEE Trans. on Signal Processing v.46 no.4 A Human Identification Technique Using Images of the Iris and Wavelet Transform Boles, W.W.;Boashash, B.
  9. Wavelet Theory and Its Application Young, Randy K.
  10. IEEE Signal Processing Magazine no.Oct. Wavelet and Signal Processing Rioul, O.;Vetterli, M.
  11. Wavelets and Filter Banks Strang, Gilbert;Nguyen, Truong
  12. Fundamentals of Neural Networks Fausset, L.
  13. The Self-organization and Associate Memory Kohonen, T.
  14. ETRI J. v.22 no.1 Extraction of Passive Device Model Parameters Using Genetic Algorithms Yun, Il-Gu(et al.)
  15. ETRI J. v.20 no.3 Efficient Content-based Image Retrieval Methods using Color and Texture Lee, Sang-Mi;Bae, Hee-Jung;Jung, Sung-Hwan
  16. ETRI J. v.21 no.1 Development of Content-based Trademark Retrieval System on the World Wide Web Kim, Young-Sum(et al.)