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Biometric Authentication Using Facial Recognition

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Security and Privacy in Communication Networks (SecureComm 2016)

Abstract

Biometric authentication has been gaining popularity for providing privacy and security in many applications including secure access control, surveillance systems, user identification and many more. This research proposes a robust scheme for biometric authentication by analyzing and interpreting facial image using a neural network. Human face has become as the key attribute for biometric authentication over the recent years due to its uniqueness and robustness. Our system focuses on efficient detection and recognition of user’s face for precise authentication. The facial features of a user are compared with a face database in order to perform matching for authentication and authorization. The proposed system estimates the face by analyzing skin color components in the facial image. The facial edge features are then extracted from the detected face skeleton. A neural network is employed and trained with the extracted edge features to recognize the user face by comparing with the facial database. Once the user is identified, authentication is granted. Experimental evaluation demonstrates that our proposed system provides better performance meeting accuracy requirements and less computation time.

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Author information

Authors and Affiliations

  1. School of Computing & Mathematics, Charles Sturt University, Bathurst, Australia

    Mozammel Chowdhury & Rafiqul Islam

  2. Discipline of Business Analytics, The University of Sydney Business School, Sydney, Australia

    Junbin Gao

Authors
  1. Mozammel Chowdhury
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  2. Junbin Gao
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  3. Rafiqul Islam
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Corresponding author

Correspondence to Mozammel Chowdhury .

Editor information

Editors and Affiliations

  1. Singapore Management University, Singapore, Singapore

    Robert Deng

  2. Jinan University, Guangzhou, Guangdong, China

    Jian Weng

  3. University at Buffalo, Buffalo, New York, USA

    Kui Ren

  4. SRI International, Menlo Park, California, USA

    Vinod Yegneswaran

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chowdhury, M., Gao, J., Islam, R. (2017). Biometric Authentication Using Facial Recognition. In: Deng, R., Weng, J., Ren, K., Yegneswaran, V. (eds) Security and Privacy in Communication Networks. SecureComm 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-319-59608-2_16

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  • DOI: https://doi.org/10.1007/978-3-319-59608-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59607-5

  • Online ISBN: 978-3-319-59608-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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