• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye

Vol. 6, No. 9, September 25, 2012
10.3837/tiis.2012.09.026, Download Paper (Free):

Abstract

In this paper, we propose a fake iris detection method that combines the optical and textural features of the human eye. To extract the optical features, we used dual Purkinje images that were generated on the anterior cornea and the posterior lens surfaces based on an analytic model of the human eye’s optical structure. To extract the textural features, we measured the amount of change in a given iris pattern (based on wavelet decomposition) with regard to the direction of illumination. This method performs the following two procedures over previous researches. First, in order to obtain the optical and textural features simultaneously, we used five illuminators. Second, in order to improve fake iris detection performance, we used a SVM (Support Vector Machine) to combine the optical and textural features. Through combining the features, problems of single feature based previous works could be solved. Experimental results showed that the EER (Equal Error Rate) was 0.133%.


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Cite this article

[IEEE Style]
E. C. Lee and S. H. Son, "Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye," KSII Transactions on Internet and Information Systems, vol. 6, no. 9, pp. 2424-2441, 2012. DOI: 10.3837/tiis.2012.09.026.

[ACM Style]
Eui Chul Lee and Sung Hoon Son. 2012. Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye. KSII Transactions on Internet and Information Systems, 6, 9, (2012), 2424-2441. DOI: 10.3837/tiis.2012.09.026.

[BibTeX Style]
@article{tiis:20185, title="Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye", author="Eui Chul Lee and Sung Hoon Son and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2012.09.026}, volume={6}, number={9}, year="2012", month={September}, pages={2424-2441}}