Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 4, Pages: 1-6
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]
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)
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