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Age Estimation and Gender Prediction Using Convolutional Neural Network

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Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

Abstract

A face of a person plays a very crucial part to identify the person uniquely. Two important traits namely age and gender can enhance the performance of face recognition. From the human perspective, it is very easy to estimate the person’s gender and age on the basis of visualization but if we see from the machine perspective they can’t. To estimate the age and gender from the facial image is a challenging task for a machine due to variations, lighting and other conditions in the face. This paper proposed the estimation of age and predict the gender of a person from the facial image using the convolutional neural network. In the proposed methodology before the training and testing, also apply the PCA to reduce the extracted features dimensions. This work is done on the publicly available IMDB-WIKI dataset as well as own dataset using the MATLAB platform for the implementation purpose.

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Authors and Affiliations

  1. Department of Computer Science and Engineering and Information Technology, Madhav Institute of Technology and Science, Gwalior, India

    Bulbul Agrawal & Manish Dixit

Authors
  1. Bulbul Agrawal
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  2. Manish Dixit
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Corresponding author

Correspondence to Bulbul Agrawal .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

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

    Jagdish Chand Bansal

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Agrawal, B., Dixit, M. (2020). Age Estimation and Gender Prediction Using Convolutional Neural Network. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_15

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