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Face Recognition

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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

Part of the book series: Cognitive Intelligence and Robotics ((CIR))

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Abstract

One of the most important applications of visual pattern recognition systems is biometric identification. The need for more secure, reliable, and convenient identification methods has spurred intense research in this field as security becomes one of the most pressing issues of modern times. Apart from security, biometric authentication systems have become indispensable tools in surveillance at airports and sensitive facilities. From everyday tasks such as unlocking a cell phone to more sophisticated applications arising in forensics, banking, border control, and passport verification, the use of biometric authentication is expanding and it is likely to do so well into the future as the technology improves even further.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    S. M. Mahbubur Rahman

  2. Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh

    Tamanna Howlader

  3. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

    Dimitrios Hatzinakos

Authors
  1. S. M. Mahbubur Rahman
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  2. Tamanna Howlader
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  3. Dimitrios Hatzinakos
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Correspondence to S. M. Mahbubur Rahman .

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Rahman, S.M.M., Howlader, T., Hatzinakos, D. (2019). Face Recognition. In: Orthogonal Image Moments for Human-Centric Visual Pattern Recognition. Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-32-9945-0_3

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  • DOI: https://doi.org/10.1007/978-981-32-9945-0_3

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