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Fast and Robust Biometric Authentication Scheme Using Human Ear

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Security and Privacy in Communication Networks (SecureComm 2017)

Abstract

Biometric authentication using human ear is a recent trend in security applications including access control, user recognition, surveillance, forensic, and border security systems. This paper aims to propose a fast and robust authentication scheme using ear biometric. In this work, a fast technique based on the AdaBoost algorithm is used to detect the ear of the user from profile images. An efficient stereo matching algorithm is used to match the user’s ear data (probe) to the previously enrolled (stored) ear data in a gallery database for verification and recognition. Correspondences are established between extracted features of the probe and gallery image sequences. The performance of the recognition approach is evaluated on different standard ear datasets and compared with other techniques. Experimental results suggest the superiority of the proposed approach over other popular techniques reported in this work.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, Charles Sturt University, Sydney, Australia

    Mozammel Chowdhury & Rafiqul Islam

  2. Discipline of Business Analytics, The University of Sydney Business School, Sydney, Australia

    Junbin Gao

Authors
  1. Mozammel Chowdhury
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  2. Rafiqul Islam
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  3. Junbin Gao
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Corresponding author

Correspondence to Rafiqul Islam .

Editor information

Editors and Affiliations

  1. Wilfrid Laurier University, Waterloo, Ontario, Canada

    Xiaodong Lin

  2. University of New Brunswick, Fredericton, New Brunswick, Canada

    Ali Ghorbani

  3. University at Buffalo, Buffalo, New York, USA

    Kui Ren

  4. Pennsylvania State University, Philadelphia, Pennsylvania, USA

    Sencun Zhu

  5. Anhui Normal University, Wuhu, China

    Aiqing Zhang

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chowdhury, M., Islam, R., Gao, J. (2018). Fast and Robust Biometric Authentication Scheme Using Human Ear. In: Lin, X., Ghorbani, A., Ren, K., Zhu, S., Zhang, A. (eds) Security and Privacy in Communication Networks. SecureComm 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-78816-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-78816-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78815-9

  • Online ISBN: 978-3-319-78816-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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