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Research Article

Using Convolutional Neural Network for detecting Age and Gender by analyzing face patterns

  • Paper ID 612
  • Volume 3, Issue 4
  • Pages 15-18
  • Published Online: July-August 2022
  • 4 Views
Open Access Peer Reviewed

Authors

  • Atharva Pardeshi1
  • Atharva Dhalgade2
  • Fardeen Sayyed3
  • Anuradha Panavkar4

1234 Department of Information Technology, MIT ADT University, Pune, Maharashtra, India.

Article Information

DOI
No DOI
Published Online
July-August 2022
Pages
15-18
Article Type
Research Article
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No DOI available for cross-reference

References

[1]. Age and Gender Detection in the I-DASH Project HUGO MEINEDO, L2F - Spoken Language Systems Lab, INESC-ID ISABEL TRANCOSO, L2F -Spoken Language Systems Lab, INESC-ID and Instituto Superior Tecnico.
[2]. Estimation of gender and age using CNN-based face recognition algorithm, Sooyeon Lim, School of Game, Dongyang University, Korea [email protected].
[3]. R. Rothe, R. Timofte, and L. Van Gool, “Deep expectation of real and apparent age from a single image without facial landmarks,” International Journal of Computer Vision, vol. 126, no. 2–4, pp. 144–157, 2018.
[4]. B. Bin Gao, H. Y. Zhou, J. Wu, and X. Geng, “Age estimation using expectation of label distribution learning,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pp. 712–718, Stockholm, Sweden, July 2018.
[5]. G. Antipov, M. Baccouche, S. A. Berrani, and J. L. Dugelay, “Effective training of convolutional neural networks for facebased gender and age prediction,” Pattern Recognition, vol. 72, pp. 15–26, 2017.
[6]. V. Carletti, A. S. Greco, G. Percannella, M. Vento, and I. Fellow, “Age from faces in the deep learning revolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 1, 2019.
[7]. H. Han and A. K. Jain, “Age, gender and race estimation from unconstrained face images,” MSU Technical Report, MSUCSE-14-5, Michigan State University, East Lansing, MI, USA, 2014.
[8]. R. C. Malli, M. Aygun, and H. K. Ekenel, “Apparent age estimation using ensemble of deep learning models,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 714–721, Las Vegas, NV, USA, June 2016.
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