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DWT-HOG-Based Facial Expression Recognition System

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Proceedings of Data Analytics and Management (ICDAM 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 787))

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Abstract

A new facial expression recognition system is presented in this work that utilizes a combination of discrete wavelet transform and Histogram of Oriented Gradients (DWT and HOG) techniques to extract the useful features. The research demonstrates that the previously developed DWT-HOG-based tool for face recognition can also be used for extracting representative features related to facial expressions. The proposed system performance is measured using the CK+ database, which is a standard reference for facial expression images. The experimental results prove that the proposed DWT-HOG-based system outperforms many contemporary methods for facial expression recognition. This paper provides a comprehensive discussion on the design steps and the performance of the proposed system, which highlights the potential of using DWT-HOG-based techniques for developing robust facial expression systems.

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Acknowledgements

The author(s) would like to thank Mustansiriyah University (www.uomustansiriyah.edu.iq), Baghdad—Iraq, for its support in the present work.

Conflicts of Interest

The authors declare no conflict of interest.

Author information

Authors and Affiliations

  1. Mustansiriyah University, Information Technology Center, Baghdad, Iraq

    Ahmed Abdulateef Mohammed & Hashem Bedr Jehlol

  2. PSC-Inc., Michigan, USA

    Faiz Al-Alawy

Authors
  1. Ahmed Abdulateef Mohammed
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  2. Faiz Al-Alawy
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  3. Hashem Bedr Jehlol
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Corresponding author

Correspondence to Hashem Bedr Jehlol .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi, India

    Abhishek Swaroop

  2. Jan Wyzykowski University, Polkowice, Poland

    Zdzislaw Polkowski

  3. Polytechnic Institute of Portalegre, Portalegre, Portugal

    SĂ©rgio Duarte Correia

  4. Centre for Communications Technology, London Metropolitan university, London, UK

    Bal Virdee

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

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Mohammed, A.A., Al-Alawy, F., Jehlol, H.B. (2023). DWT-HOG-Based Facial Expression Recognition System. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. Lecture Notes in Networks and Systems, vol 787. Springer, Singapore. https://doi.org/10.1007/978-981-99-6550-2_17

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