Challenging Aspects for Facial Feature Extraction and Age Estimation

A  Deepa  and T  Sasipraba

doi:10.17485/ijst/2016/v9i4/72315

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Challenging Aspects for Facial Feature Extraction and Age Estimation

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i4/72315

Year: 2016, Volume: 9, Issue: 4, Pages: 1-6

Original Article

Challenging Aspects for Facial Feature Extraction and Age Estimation

A. Deepa^* and T. Sasipraba

Computer Science and Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, India; [email protected], [email protected]

*Author For Correspondence
A. Deepa Computer Science and Engineering, Sathyabama University, Chennai – 600119, Tamil Nadu, India; [email protected]

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

Abstract

In this paper we have discussed the steps for facial age estimation and a comparative study of various methodologies in each step has been briefed. The face identification, tools for extraction, feature normalization, features to be extracted is all explained. In spite of various challenges, feature extraction is a vital step based on which the classification and estimation of age are done. From the comparative study DCT method has provided better results across all age groups.

Keywords: DCT (Discrete Cosine Transform), HMM (Hidden Markov Models), LBP (Local Binary Pattern), MAE (Mean Absolute Error), PCA (Principle Component Analysis)