Extracting unique personal identification number from iris

Nenad Nestorovic, P. W C Prasad, Abeer Alsadoon, A. Elchouemi

Research output: Book chapter/Published conference paperConference paper

Abstract

This paper presents an efficient Iris recognition system based on Fast Fourier Transform. The system is comprised of several algorithms which are employed to provide effective identification of an individual based on the individual's Iris pattern. The proposed combines canny edge detector and circular Hough transform model algorithms which yield more rapid and accurate Iris boundaries localization. The eyelid and eyelashes occlusion is also dealt with by applying non maxima radial suppression technique. The segmented Iris area is then normalized with all iris templates converted from circular to rectangular shape of standard dimensions thus enabling comparison between them. Fast Fourier Transform function is then applied to normalized Iris image. The resulting matrix consists of real and imaginary part represented by complex numbers. The matrix is encoded by assigning a sequence of binary numbers to each possible combination of complex numbers thus producing Iris code. In the matching phase the degree of dissimilarity between the two Iris codes is determined. The experimental results show that the obtained high recognition accuracy is competitive with other existing methods.
Original languageEnglish
Title of host publicationNetworking in Education and Research
Subtitle of host publicationRoEduNet International Conference 15th Edition Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781509053988
DOIs
Publication statusPublished - 22 Nov 2016
Event15th RoEduNet International Conference: RoEduNet 2016 - University Politehnica Bucharest, Bucharest, Romania
Duration: 07 Sep 201609 Sep 2016
https://conference.roedu.net/index.php/roedunetconf/2016

Conference

Conference15th RoEduNet International Conference
Abbreviated titleNetworking in Education and Research
CountryRomania
CityBucharest
Period07/09/1609/09/16
Internet address

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  • Cite this

    Nestorovic, N., Prasad, P. W. C., Alsadoon, A., & Elchouemi, A. (2016). Extracting unique personal identification number from iris. In Networking in Education and Research: RoEduNet International Conference 15th Edition Proceedings (pp. 1-6). [7753220] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RoEduNet.2016.7753220