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Original Article
Smart Face Analysis for Age and Gender Recognition
Anshika Chaurasia1
Amna Tooba2
Anamika Pandey3
123 Department of Computer Science, Institute of Technology and Management, GIDA, Gorakhpur, Uttar Pradesh, India.
Published Online: May-June 2025
Pages: 45-47
Cite this article
No DOIReferences
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].
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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.
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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