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Asian Conference on Computer Vision

ACCV 2014: Computer Vision - ACCV 2014 Workshops pp 617–632Cite as

Robust Ear Recognition Using Gradient Ordinal Relationship Pattern

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9010))

Abstract

A reliable personal recognition based on ear biometrics is highly in demand due to its vast application in automated surveillance, law enforcement etc. In this paper a robust ear recognition system is proposed using gradient ordinal relationship pattern. A reference point based normalization is proposed along with a novel ear transformation over normalized ear, to obtain robust ear representations. Ear samples are enhanced using a local enhancement technique. Later a dissimilarity measure is proposed that can be used for matching ear samples. Two publicly available ear databases IITD and UND-E are used for the performance analysis. The proposed system has shown very promising results and significant improvement over the existing state of the art ear systems. The proposed system has shown robustness against small amount of illumination variations and affine transformations due to the virtue of ear transformation and tracking based matching respectively.

Authors would like to acknowledge the funding and support provided by IIT, Mandi.

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Author information

Authors and Affiliations

  1. School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, 175005, India

    Aditya Nigam

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Phalguni Gupta

Authors
  1. Aditya Nigam
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  2. Phalguni Gupta
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Correspondence to Aditya Nigam .

Editor information

Editors and Affiliations

  1. Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India

    C. V. Jawahar

  2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

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Nigam, A., Gupta, P. (2015). Robust Ear Recognition Using Gradient Ordinal Relationship Pattern. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9010. Springer, Cham. https://doi.org/10.1007/978-3-319-16634-6_45

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  • DOI: https://doi.org/10.1007/978-3-319-16634-6_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16633-9

  • Online ISBN: 978-3-319-16634-6

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