Wrinkle Feature Based Age Estimation of Facial Images

Authors

  • Gaurav Rajabhau Patel  Assistant Professor, Department of Electronics and Telecommunication, SITRC Sandip Foundation, Nashik, Maharashtra, India
  • Soniya Daulatrao Wawhal  Assistant Professor, Department of Electronics and communication, Gangamai College of Engineering,Nagaon, Dhule, Maharashtra, India
  • Lekhashri Hemchandra Mahajan  Assistant Professor, Department of Electronics and Telecommunication, Gangamai College of Engineering,Nagaon, Dhule, Maharashtra, India
  • Nikita S. Wani  ME, Department of Electronics and communication, D.N.PATEL College of Engineering, Shahada, Maharashtra, India.

Keywords:

Facial Feature Extraction and Facial Edge Estimation, SVM and Filters, MATLAB

Abstract

These paper based on wrinkle feature based age estimation of face images. Age succession of human being is indicated by skin texture, face structure, skin color. The face features changes with age sequence of a human. This paper estimate regarding to the real age of a human being by analyze wrinkle area of face images Wrinkle natural features areas are detected and wrinkle features are extracted from face image. Depend on wrinkle features; each face image is classifying using SVM algorithm via facial feature extraction followed. Then, estimated age is calculated using their clustering membership value and average age of each cluster. The obtained results are significant and remarkable.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

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Copyright (c) IJSRSET

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

How to Cite

[1]
Gaurav Rajabhau Patel, Soniya Daulatrao Wawhal, Lekhashri Hemchandra Mahajan, Nikita S. Wani, " Wrinkle Feature Based Age Estimation of Facial Images, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.950-953, November-December-2017.