This paper focuses Automatic age estimation based on face recognition. This approach is based on the Principle Component Analysis (PCA). Eigen face approach is used for both age prediction and face recognition. Face database is created by aging groups individually. The age prediction is carried out by projecting a new face image into this face space and then comparing its position in the face space with those of known faces. After that we find the best match in the related face database, the Eigen face representation of an input image is first obtained. Then it is compared with the Eigen face representation of face in the database. The closest one is the match.
Cite this article:
Sneha Thakur, Ligendra Verma. A Neural Network Approach for Age Estimation Based on Facial Features. Int. J. Tech. 1(2): July-Dec. 2011; Page 90-95
Sneha Thakur, Ligendra Verma. A Neural Network Approach for Age Estimation Based on Facial Features. Int. J. Tech. 1(2): July-Dec. 2011; Page 90-95 Available on: https://www.ijtonline.com/AbstractView.aspx?PID=2011-1-2-8