Age Group Classification of Facial Images Using Rank Based Edge Texture Unit (RETU) and Fuzzy Texture

Authors

  • Jammula Nimitha  Student, Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Kuraganti Nukeswari  Student, Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Kuraganti Sudha  Student, Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Kurapati Sumithra  Student, Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India
  • Rama Devi Gunnam  Faculty, Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India

DOI:

https://doi.org/10.32628/CSEIT1952176

Keywords:

Rank Based Edge Texture Unit (RETU), Fuzzy Texton

Abstract

We as human beings can estimate the age of a person based on his facial features but there are situations where there is a need for the computers to determine the age of a person based on the picture or photograph. Here comes the situation to teach a machine to determine the age group of a person with his picture. This is applicable in the fields like determining the age of a criminal with his picture or determining the age of a patient when he has undergone an accident and many other fields. To address this problem the paper proposed a technique of finding the age with Rank Based Edge Texture Unit (RETU). The uniqueness of this method is that it divides the age group into 7 classes i.e. the age groups are 1-10, 11-20, 21-30,31-0,41-50,51-60,>60 . With this method, the results cope up to 97.16% and to slightly increase the efficiency the present paper proposes to add Fuzzy Texton features.

References

  1. Nabil Hewahi, Aya Olwan, Nebal Tubeel, Salha EL-Asar, Zeinab Abu-Sultan “Age Estimation Based on Neural Networks”2009-2010 CIS Journal
  2. Wen-Bing Horng, Cheng-Ping Lee and Chun-Wen Chen “Classification of Age Groups Based on Facial Features “ 183-191 (2001)
  3. Kwon, Y.H., da Vitoria Lobo, N.: “Age classification from facial images. Comput. Vis. Image Underst”. 74(1), 1–21 (1999)
  4. Murty, G.S., Vijaya Kumar, V., Obulesu, A.: “Age classification based on simple LBP transition”s. Int. J. Comput. Sci. Eng. (IJCSE) 5(10) (2013)
  5. Ch Rajendra Babu, E. Sreenivasa Reddy and B. Prabhakara Rao “Age Group Classification of Facial Images Using Rank Based Edge Texture Unit(RETU) and Fuzzy Texton”.
  6. Hasegawa, H., Simizu, E.: Discrimination of facial age generation using neural networks. T. IEE Jpn. 117-C(12), 1897–1898 (1997)
  7. Kwon, Y.H., da Vitoria Lobo, N.: Age classification from facial images. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 762–767, Seattle,Washington, D.C (1994)
  8. Horng, W.-B., Lee, C.-P., Chen, C.-W.: Classification of age groups based on facial features. T. Sci. Eng. 4(3), 183–192 (2001)
  9. Kwon, Y.H., da Vitoria Lobo, N.: Age classification from facial images. Comput. Vis. Image
  10. Mohan, M.C., Vijaya Kumar, V., Venkata Krishna, V.: Novel method of adult using linear wavelet transforms. IJCSNS, 1–8 (2010)
  11. Ueki, K., Hayashida, T., Kobayashi, T.: Subspace-based age-group classification using facial images under various lighting conditions. In: Proceedings of the 7th International Automatic Face and Gesture Recognition (FGR '06). IEEE 0-7695-2503-2/06 (2006)
  12. Vijaya Kumar, V., Sasi Kiran, J., Hari Chandana, V.V.: An effective age classification using topological features based on comprσσessed and reduced grey level model of the facial skin: Int.J. Image Graphics Signal Process. 6(1), 9–17 (2014)

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Jammula Nimitha, Kuraganti Nukeswari, Kuraganti Sudha, Kurapati Sumithra, Rama Devi Gunnam, " Age Group Classification of Facial Images Using Rank Based Edge Texture Unit (RETU) and Fuzzy Texture" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.605-611, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952176