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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2016: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 pp 966–973Cite as

Steady Illumination Color Local Ternary Pattern as a Feature Extractor in Iris Authentication

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 16))

Abstract

The iris, considered as part of ocular biometrics, is an externally visible, yet protected organ whose unique epigenetic pattern remains stable throughout adult life. This characteristic makes it a very important modality for use as a biometric for authentication. When a subject wishes to be identified by iris recognition system, their eyes are first photographed, and then a template is created. This template is then compared with the other templates stored in a database until a correct match is found or it remains unidentified. Steady Illumination color Local Ternary Pattern (SIcLTP) has been used as a feature extractor in this paper to extract unique information from the color irises. The image matching is done using zero-mean sum of squared differences between the two equally sized images. The result shows that it can outperform the conventional local binary pattern as a texture descriptor.

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References

  1. Boles, W., Boashash, B.: A human identification technique using images of the iris and wavelet transform. IEEE Trans. Sig. Process. 46(4), 1185–1188 (1998)

    Article  Google Scholar 

  2. Daugman, J.: How iris recognition works. In: International Conference on Image Processing (2002)

    Google Scholar 

  3. Li, M., Tieniu, T., et al.: Personal identification based on iris texture analysis. IEEE Trans. Pattern Anal. Mach. Intell. 25(12), 1519–1533 (2003)

    Article  Google Scholar 

  4. Tistarelli, M., Nixon, M., et al.: Enhancement and registration schemes for matching conjunctival vasculature. In: Advances in Biometrics, vol. 5558, pp. 1240–1249. Springer, Heidelberg (2009)

    Google Scholar 

  5. Gottemukkula, V., Saripalle, S., et al.: A texture-based method for identification of retinal vasculature. In: Proceedings of IEEE International Conference on Technologies for Homeland Security (2011)

    Google Scholar 

  6. Iriskeynote-ICB2012. http://www.CL.cam.ac.uk/users/jgd1000

  7. Wildes, R.P.: Iris recognition: an emerging biometric technology. Proc. IEEE 85(9), 1348–1363 (1997)

    Article  Google Scholar 

  8. Azizi, A., Pourreza, H.R.: Efficient Iris Recognition Through Improvement of Feature Extraction and subset Selection (IJCSIS). Int. J. Comput. Sci. Inf. Secur. 2(1), 123–128 (2009)

    Google Scholar 

  9. Patil, C.M., Patilkulkarani, S.: A comparative study of feature extraction approaches for an efficient iris recognition system. In: Information Processing and Management, pp. 411–416 (2010)

    Google Scholar 

  10. Rashad, M.Z., Shams, M.Y., Nomir, O., El Awady, R.M.: IRIS recognition based on LBP and combined LVQ classifier. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 3(5) (2011). doi:10.5121/ijcsit.2011.3506. Department of Computer Science, Faculty of Computer and Information Sciences, Mansoura University, Egypt

  11. Bowyer, K.W., Hollingsworth, K., Flynn, P.J.: Image understanding for iris biometrics: a survey. Comput. Vis. Image Underst. 110, 281–307 (2008)

    Article  Google Scholar 

  12. Khatoon, N., Ghose, M.K.: Conjunctival Vasculature (CV) as a unique modality for authentication, using Steady Illumination Colour Local Ternary Pattern (SIcLTP). Int. J. Recent Innov. Trends Comput. Commun. 3(9), 5673–5677. ISSN: 2321-8169

    Google Scholar 

  13. Heikkilä, M., Pietikäinen, M.: A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 657–662 (2006)

    Google Scholar 

  14. Ojala, T., Pietikaeinen, M.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971–998 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of General Science and Computer Engineering, Advanced Technical Training Centre (ATTC), Bardang, East Sikkim, India

    Noorjahan Khatoon

  2. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), Majhitar, East Sikkim, India

    Mrinal K. Ghose

Authors
  1. Noorjahan Khatoon
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  2. Mrinal K. Ghose
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Corresponding author

Correspondence to Noorjahan Khatoon .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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© 2018 Springer International Publishing AG

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Khatoon, N., Ghose, M.K. (2018). Steady Illumination Color Local Ternary Pattern as a Feature Extractor in Iris Authentication. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_72

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  • DOI: https://doi.org/10.1007/978-3-319-56991-8_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56990-1

  • Online ISBN: 978-3-319-56991-8

  • eBook Packages: EngineeringEngineering (R0)

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