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A New Face Recognition System

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Proceedings of International Joint Conference on Advances in Computational Intelligence (IJCACI 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Face identification from picture datasets is the objective of a recent research study. Data from Alan Grant, Claire Dearing, Elliot Sattler, Ian Malcolm, John Hammond and Owen Grady are now being used in the current study. Deep learning were utilized to create facial recognition. According to the results of the simulation, face recognition takes less time when using compressed photos than it did with the prior model. In addition, the suggested task consumes a less amount of storage space. The suggested work’s accuracy is determined to be superior to that of the usual technique. As a result, the suggested study has developed a more efficient method for recognizing several faces.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science and Technology, 125001, Hisar, Haryana, India

    Anmol Tyagi & Kuldeep Singh

Authors
  1. Anmol Tyagi
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  2. Kuldeep Singh
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Corresponding author

Correspondence to Anmol Tyagi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

    Mohammad Shorif Uddin

  2. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Tyagi, A., Singh, K. (2023). A New Face Recognition System. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1435-7_14

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