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Recognizing Faces When Images Are Corrupted by Varying Degree of Noises and Blurring Effects

  • Conference paper
Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 337))

Abstract

Most images are corrupted by various noises and blurring effects. Recognizing human faces in the presence of noises and blurring effects is a challenging task. Appearance based techniques are usually preferred to recognize faces under different degree of noises. Two state of the art techniques considered in our paper are Locality Preserving Projections (LPP) and Hybrid Spatial Feature Interdependence Matrix (HSFIM) based face descriptors. To investigate the performance of LPP and HSFIM we simulate the real world scenario by adding noises: Gaussian noise, Salt and pepper noise and also adding blurring effects: Motion blur and Gaussian blur on six standard public face databases: IITK, ATT, JAFEE, CALTECH, GRIMANCE, and SHEFFIELD.

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Author information

Authors and Affiliations

  1. Dept. Electronics & Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India

    Steven Lawrence Fernandes

  2. Dept. & Communication Engineering, Karunya University, Tamil Nadu, Coimbatore, India

    Josemin G Bala

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

Correspondence to Steven Lawrence Fernandes .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. School of Information Technology, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India

    A. Govardhan

  3. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. Department of Computer Science & Engineering, Faculty of Engg., Tech. & Management, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

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Fernandes, S.L., Bala, J.G. (2015). Recognizing Faces When Images Are Corrupted by Varying Degree of Noises and Blurring Effects. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-13728-5_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13727-8

  • Online ISBN: 978-3-319-13728-5

  • eBook Packages: EngineeringEngineering (R0)

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