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Original Article

Smart Face Analysis for Age and Gender Recognition

Open Access Peer Reviewed

Authors

  • Anshika Chaurasia1
  • Amna Tooba2
  • Anamika Pandey3

123 Department of Computer Science, Institute of Technology and Management, GIDA, Gorakhpur, Uttar Pradesh, India.

Article Information

DOI
No DOI
Published Online
May-June 2025
Pages
45-47
Article Type
Original Article
Check for updates
No DOI available for cross-reference

References

1. G. Bradski and A. Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library, 2nd ed. Sebastopol, CA, USA: O’Reilly
Media, 2016.
2. S. Levi and T. Hassner, “Age and Gender Classification Using Convolutional Neural Networks,” in Proc. IEEE Conf. Comput.
Vis. Pattern Recognit. Workshops (CVPRW), Boston, MA, USA, Jun. 2015, pp. 34–42.
3. OpenCV.org, “OpenCV: Open Source Computer Vision Library,” [Online]. Available: https://opencv.org/. [Accessed: 10-May-2025].
4. BVLC, “Caffe Model Zoo,” GitHub Repository, 2016. [Online]. Available: https://github.com/BVLC/caffe. [Accessed: 10-May 2025].
5. Python Software Foundation, “Python 3 Documentation,” [Online]. Available: https://docs.python.org/3/. [Accessed: 10-May-2025].
6. TkDocs, “Tkinter GUI Programming,” [Online]. Available: https://tkdocs.com/. [Accessed: 10-May 2025].
7. A. Mollahosseini, D. Chan, and M. H. Mahoor, “Going deeper in facial expression recognition using deep neural networks,” in
Proc. IEEE Winter Conf.Appl. Comput. Vis. (WACV), Lake Placid, NY, USA, Mar. 2016, pp. 1–10.
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