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Design Method of Video Based Iris Recognition System (V-IRS)

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Advances in Visual Informatics (IVIC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8237))

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Abstract

Reliable person recognition is crucial in all modern-day processes. Biometric systems have been arrayed by public and private organizations. Iris has been used as the most trusted physical attribute of human being as it is accurate, highly reliable, unchangeable and unique. Iris recognition is the identification for an individual based on iris features. In the past, many methods were used to enhance the efficiency of iris recognition systems (IRS). However, currently, the majority of existing systems substantially limit the position and motion of the subjects during the recognition process. This is largely due to the image acquisition process, rather than the specific pattern-matching algorithm applied during the recognition process. Therefore, the current study proposes an accurate method for identification of people using iris recognition system based on video streaming (V-IRS). The results of the study are expected to reveal that iris recognition on the move is an accurate and effective method to identifying people. The study concludes by highlighting the importance of the iris recognition system based on the subject moving.

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Author information

Authors and Affiliations

  1. Institute of Visual Informatics (IVI), Universiti Kebangsaan Malaysia, Malaysia

    Asama Kuder Nseaf, Azizah Jaafar & Riza Sulaiman

  2. Department of Electrical, Electronic and Systems Engineering, UniversitiKebangsaan Malaysia, Malaysia

    Haroon Rashid

  3. Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Putra Malaysia, Malaysia

    Rahmita Wirza O. K. Rahmat

  4. UniversitiKebangsaan Malaysia, JalanReko, 43600, Bangi, Selangor DarulEhsan, Malaysia

    Rahmita Wirza O. K. Rahmat

  5. Universiti Putra Malaysia, UPM, 43400, Serdang, Selangor Darul Ehsan, Malaysia

    Rahmita Wirza O. K. Rahmat

Authors
  1. Asama Kuder Nseaf
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  2. Azizah Jaafar
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  3. Haroon Rashid
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  4. Riza Sulaiman
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  5. Rahmita Wirza O. K. Rahmat
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Editor information

Editors and Affiliations

  1. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, CB3 0FD, Cambridge, UK

    Peter Robinson

  3. School of Computing Science, Newcastle University, Culture Lab, King’s Walk, NE1 7RU, Newcastle Upon Tyne, UK

    Patrick Olivier

  4. Dept. of Computer Science and Information Engineering, National Central University, No 300, Jhongda Rd, Jhongli, Taiwan

    Timothy K. Shih

  5. Computing and Information Systems, Kingston University, Penrhyn Road, Kingston upon Thames, KT1 2EE, London, United Kingdom

    Sergio Velastin

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© 2013 Springer International Publishing Switzerland

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Nseaf, A.K., Jaafar, A., Rashid, H., Sulaiman, R., Rahmat, R.W.O.K. (2013). Design Method of Video Based Iris Recognition System (V-IRS). In: Zaman, H.B., Robinson, P., Olivier, P., Shih, T.K., Velastin, S. (eds) Advances in Visual Informatics. IVIC 2013. Lecture Notes in Computer Science, vol 8237. Springer, Cham. https://doi.org/10.1007/978-3-319-02958-0_48

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  • DOI: https://doi.org/10.1007/978-3-319-02958-0_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02957-3

  • Online ISBN: 978-3-319-02958-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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