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A Novel Technique to Recognize Human Faces Across Age Progressions

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Book cover Proceedings of the International Conference on Soft Computing Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 397))

Abstract

Individual’s appearance changes as age progresses, this shows immeasurable potential uses of programmed face recognition over ages. Since different individuals age in different way, a “sufficient and complete” dataset ought to contain the complete aging examples of the number of individuals as are important to speak to the entire populace. In any case, age progression cannot be artificially controlled. The collection of the aging images hence normally obliges extraordinary exertion in looking for photos taken years back, and future images cannot be procured. The two methodologies considered to recognize faces across age variations are discriminative-based methodology and generative-based methodology. In this paper, we propose a novel technique to recognize faces across age progressions. We also analyze different best in class systems accessible in discriminative-based methodology and generative-based methodology; this analyzes are performed on different standard age varying face databases.

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Acknowledgments

The proposed work was made possible because of the grant provided by Vision Group Science and Technology (VGST), Department of Information Technology, Biotechnology and Science and Technology, Government of Karnataka, Grant No. VGST/SMYSR/GRD-402/2014–15 and the support provided by Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India.

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Authors and Affiliations

  1. Department Electronics & Communication, Karunya University, Coimbatore, India

    Steven Lawrence Fernandes & G. Josemin Bala

Authors
  1. Steven Lawrence Fernandes
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  2. G. Josemin Bala
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Corresponding author

Correspondence to Steven Lawrence Fernandes .

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Editors and Affiliations

  1. Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India

    L. Padma Suresh

  2. IIT Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Fernandes, S.L., Josemin Bala, G. (2016). A Novel Technique to Recognize Human Faces Across Age Progressions. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 397. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2671-0_36

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  • DOI: https://doi.org/10.1007/978-81-322-2671-0_36

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2669-7

  • Online ISBN: 978-81-322-2671-0

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