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Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet

Shashidhara H.R., Aswatha A.R.. Published in Algorithms

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Shashidhara H.R., Aswatha A.R.
10.5120/ijais2015451431
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  1. Shashidhara H.R. and Aswatha A.R.. Article: Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet. International Journal of Applied Information Systems 9(7):11-16, September 2015. BibTeX

    @article{key:article,
    	author = "Shashidhara H.R. and Aswatha A.R.",
    	title = "Article: Comparative study of Iris Recognition using Neville’s Algorithm and Symmetric Framelet",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 9,
    	number = 7,
    	pages = "11-16",
    	month = "September",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"
    }
    

Abstract

The iris recognition is a highly secured and unified authentication of a person. In this paper the necessary features of iris region is extracted from the eye image by using two algorithms. The algorithms used for to extract the features are Neville’s algorithm and Symmetric framelet. The iris region is extracted through the segmentation process by applying thresholding. The Neville’s method is an interpolating subdivision method, which generates the halfway values of the two nearest database segmented iris image pixels. The symmetric framelet calculates the conditional symmetry between two components of iris image. The proposed method improves the efficiency and accuracy of the iris recognition system. The experimental results shows that the iris recognition with low false acceptance ratio and false rejection ratio and high success rate.

Reference

  1. J. Daugman: How iris recognition works: IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, no. 1, pp. 21–30(2004).
  2. J. G. Daugman: High confidence visual recognition of persons by a test of statistical independence: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148–1161 (1993).
  3. R. P. Wildes:Iris recognition: an emerging biometric technology: Proceedings of the IEEE, vol. 85, no. 9, pp.1348–1363 (1997).
  4. 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 (1998)
  5. S. Lim, K. Lee, O. Byeon, and T. Kim:Efficient iris recognition through improvement of feature vector and classifier: ETRI journal, vol. 23, no. 2, pp. 61–70, (2001).
  6. W.-Y. Han, W.-K. Chen, Y.-P. Lee, K.-s. Wu, and J.-C. Lee: Iris recognition based on local mean decomposition: Appl. Math, vol. 8, no. 1L, pp. 217–222,(2014).
  7. S. Thepade and P. R. Mandal: Novel iris recognition technique using fractional energies of transformed iris images using haar and kekre transforms: International Journal Of Scientific & Engineering Research, vol. 5, no. 4 (2014).
  8. Y. Chen, Y. Liu, X. Zhu, H. Chen, F. He, and Y. Pang: Novel approaches to improve iris recognition system performance based on local quality evaluation and feature fusion: The Scientific World Journal, vol. 2 (2014).
  9. C. Abikoye Oluwakemi, J. Sadiku, S. Adewole Kayode, and G. Jimoh Rasheed:Iris feature extraction for personal identification using fast wavelet transform (fwt): International Journal of Applied Information Systems:structure: vol. 6, no. 9,pp-1-5, (2014).
  10. H. R. Shashidhara and A. R. Aswath: A novel approach to circular edge detection for iris image segmentation: 2014 Fifth International Conference on Signal and Image Processing (ICSIP). pp. 316–320:IEEE (2014)
  11. G. Deslauriers and S. Dubuc: Symmetric iterative interpolation processes: Constructive approximation: pp. 49–68: Springer (1989).
  12. W. H. Press, S. A. Teukolsky,W. T.Vetterling, and B. P. Flannery:Numerical recipes:The art of scientific computing :Cambridge, (1992)
  13. Ivan W. Selesnick, A. Farras Abdelnour: Symmetric Wavelet Tight Frames with Two Generators: Applied and Computational Harmonic Analysis, vol-17, issue-2:pp-211-225, (2004)

Keywords

Segmentation, Doughman, Neville's algorithm, Symmetric framelet, Hamming distance.