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Optimized Dynamic Feature Matching for Face Recognition

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Techno-Societal 2020

Abstract

Since the last three decades, face detection and recognition have become very active and a huge part of image processing research. In real-time applications like video surveillance, front views cannot be guaranteed as input. Hence the failure rates can degrade the performance of the face recognition system. The proposal aims to introduce a novel PFR method termed as DFM that combine Sparse Representation Classification (SRC) and FCN for resolving the partial face recognition issues. As the major contribution, this proposal aims to tune the sparse coefficient of DFM in an optimal manner, such that the reconstruction error should be minimal. Moreover, this proposal introduces Jaccard Similarity Index measure to calculate the similarity scores among the gallery sub feature map and probe feature map. For optimization purpose, this work deploys a hybrid algorithm that hybrids both the concepts of Grey Wolf Optimization (GWO) and Sea Lion Optimization (SLnO) algorithm.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, SVERI’s College of Engineering, Pandharpur, India

    Ganesh Gopalrao Patil

  2. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Rohitash Kumar Banyal

Authors
  1. Ganesh Gopalrao Patil
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  2. Rohitash Kumar Banyal
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Editor information

Editors and Affiliations

  1. SVERI’s College of Engineering, Pandharpur, Maharashtra, India

    Prashant M. Pawar

  2. Precision Engineering Center, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India

    R. Balasubramaniam

  3. SVERI’s College of Engineering, Pandharpur, Maharashtra, India

    Babruvahan P. Ronge

  4. SVERI’s College of Engineering, Pandharpur, Maharashtra, India

    Santosh B. Salunkhe

  5. SVERI’s College of Engineering, Pandharpur, Maharashtra, India

    Anup S. Vibhute

  6. SVERI’s College of Engineering, Pandharpur, Maharashtra, India

    Bhuwaneshwari Melinamath

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Patil, G.G., Banyal, R.K. (2021). Optimized Dynamic Feature Matching for Face Recognition. In: Pawar, P.M., Balasubramaniam, R., Ronge, B.P., Salunkhe, S.B., Vibhute, A.S., Melinamath, B. (eds) Techno-Societal 2020. Springer, Cham. https://doi.org/10.1007/978-3-030-69921-5_39

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  • DOI: https://doi.org/10.1007/978-3-030-69921-5_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69920-8

  • Online ISBN: 978-3-030-69921-5

  • eBook Packages: EngineeringEngineering (R0)

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