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Facial Analysis Prediction: Emotion, Eye Color, Age and Gender

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Soft Computing and Signal Processing ( ICSCSP 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 840))

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Abstract

The main goal is to create an automatic facial analyzer system for the human face, which will be a crucial component of future analysis. The topic of this work is the recognition of emotion, gender, age, and eye colour from an image. We developed a facial recognition system to forecast facial data with the help of deep learning and OpenCV. Three methods are used in this study: one for predicting age and gender, one for estimating eye color, and one for recognizing emotions. The facial analysis system delivers improved accuracy, per the results.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    J. Tejaashwini Goud, Nuthanakanti Bhaskar, K. Srujan Raju & Murali Kanthi

  2. Department of IT, CMR Technical Campus, Hyderabad, India

    G. Divya

  3. Department of Cybersecurity, ST. Louis, Missouri, MO, USA

    Srinivasarao Dharmireddi

Authors
  1. J. Tejaashwini Goud
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  2. Nuthanakanti Bhaskar
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  3. K. Srujan Raju
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  4. G. Divya
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  5. Srinivasarao Dharmireddi
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  6. Murali Kanthi
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Corresponding authors

Correspondence to J. Tejaashwini Goud or Murali Kanthi .

Editor information

Editors and Affiliations

  1. Faculty of Science and Technology, International Institute of Advance Technology (ICATSUC), Sarawak, Malaysia

    Hushairi Zen

  2. Department of Computer Science, University of South Australia, Adelaide, SA, Australia

    Naga M. Dasari

  3. Department of Electronics and Communication Engineering, Malla Reddy Engineering College for Women, Secunderabad, India

    Y. Madhavee Latha

  4. Department of Electronics and Communication Engineering, Malla Reddy College of Engineering and Technology, Hyderabad, Telangana, India

    S. Srinivasa Rao

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Goud, J.T., Bhaskar, N., Srujan Raju, K., Divya, G., Dharmireddi, S., Kanthi, M. (2024). Facial Analysis Prediction: Emotion, Eye Color, Age and Gender. In: Zen, H., Dasari, N.M., Latha, Y.M., Rao, S.S. (eds) Soft Computing and Signal Processing. ICSCSP 2023. Lecture Notes in Networks and Systems, vol 840. Springer, Singapore. https://doi.org/10.1007/978-981-99-8451-0_9

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