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Complex Gradient Function Based Descriptor for Iris Biometrics and Action Recognition

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Computer Vision and Image Processing (CVIP 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1377))

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Abstract

Image gradient has always been a robust characteristic of digital image which possesses localised spatial information of each pixel in all the directions. Exploiting the gradient information at the pixel level is a good old technique applied in various fields of digital image processing. In this paper, the magnitude and direction of image gradient is explored to design a local descriptor. We propose a novel local feature descriptor based on Complex Gradient Function (CGF), which maps each pixel from the spatial plane into its complex extension involving the magnitude and direction of image gradient at that pixel. We exploit the proposed descriptor for human action recognition from depth sequences and human authentication using iris biometrics. The efficiency of descriptor is demonstrated with experimental results on benchmark datasets IITDelhi, MMU-v2, CASIA-Iris, UBIRIS, and MICHE-I for iris authentication and MSR Action 3D dataset for human action recognition (HAR).

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Acknowledgement

This work is supported jointly by the Department of Science & Technology, Govt. of India and Russian Foundation for Basic Research, Russian Federation under the grant No. INT/RUS/RFBR/P-248.

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Authors and Affiliations

  1. Department of Computer Science, Mangalore University, Mangalore, India

    B. H. Shekar & P. Rathnakara Shetty

  2. Government First Grade College Ankola, Karnataka, India

    Sharada S. Bhat

Authors
  1. B. H. Shekar
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  2. P. Rathnakara Shetty
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  3. Sharada S. Bhat
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Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology Allahabad, Prayagraj, India

    Satish Kumar Singh

  2. Indian Institute of Technology Roorkee, Roorkee, India

    Partha Roy

  3. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  4. Indian Institute of Information Technology Allahabad, Prayagraj, India

    P. Nagabhushan

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Shekar, B.H., Shetty, P.R., Bhat, S.S. (2021). Complex Gradient Function Based Descriptor for Iris Biometrics and Action Recognition. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1377. Springer, Singapore. https://doi.org/10.1007/978-981-16-1092-9_41

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  • DOI: https://doi.org/10.1007/978-981-16-1092-9_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1091-2

  • Online ISBN: 978-981-16-1092-9

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