A Review of Different Techniques of Age Estimation from Human Face

Authors

  • Khemchandra Patel M.Tech Scholar Department of Computer Science & Engineering Sagar Institute of Research & Technology Excellence Bhopal, M.P, India
  • Dr. Kamlesh Namdev Associate Professor Department of Computer Science & Engineering Sagar Institute of Research & Technology Excellence Bhopal, M.P, India

DOI:

https://doi.org/10.24113/ijoscience.v4i10.163

Abstract

Age changes cause major variations in the appearance of human faces. Due to many lifestyle factors, it is difficult to precisely predict how individuals may look with advancing years or how they looked with "retreating" years. This paper is a review of age variation methods and techniques, which is useful to capture wanted fugitives, finding missing children, updating employee databases, enhance powerful visual effect in film, television, gaming field. Currently there are many different methods available for age variation. Each has their own advantages and purpose. Because of its real life applications, researchers have shown great interest in automatic facial age estimation. In this paper, different age variation methods with their prospects are reviewed. This paper highlights latest methodologies and feature extraction methods used by researchers to estimate age. Different types of classifiers used in this domain have also been discussed.

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Published

10/10/2018

How to Cite

Patel, K., & Namdev, D. . K. (2018). A Review of Different Techniques of Age Estimation from Human Face. SMART MOVES JOURNAL IJOSCIENCE, 4(10), 1–6. https://doi.org/10.24113/ijoscience.v4i10.163