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Facial Monitoring Using Gradient Based Approach

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Advances in Computing and Data Sciences (ICACDS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1440))

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Abstract

Security is a major concern for every organization and various security methodologies are applied to keep the work area safe and secure. The proposed algorithm computes the local gradients from an input facial image and detects the 68 landmark points to identify any unknown person. The images of all recognized and authorized persons are stored in the database after performing some encryption of the images to make database data secure. During the monitoring process, the faces encountered in the camera frame in real time need to be matched with the database images. For matching, the retrieved database images need to be decrypted and encrypted again to make the format same as used by matching algorithm. After the matching process, a notification is sent to the concerned authority for some unknown face which is also highlighted by a rectangular box. The performance and robustness of the algorithm are evaluated by testing images with various postures, background, lighting condition that is shown in experimental results.

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Author information

Authors and Affiliations

  1. G. L. Bajaj Institute of Technology and Management, Greater Noida, India

    Arush Jain, Mani Sachdeva & Paramita De

Authors
  1. Arush Jain
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  2. Mani Sachdeva
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  3. Paramita De
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Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. MVPS's Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik, Maharashtra, India

    V. R. Sonawane

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Jain, A., Sachdeva, M., De, P. (2021). Facial Monitoring Using Gradient Based Approach. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1440. Springer, Cham. https://doi.org/10.1007/978-3-030-81462-5_19

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  • DOI: https://doi.org/10.1007/978-3-030-81462-5_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81461-8

  • Online ISBN: 978-3-030-81462-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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