Age estimation system using MPCA

An exciting problem in computer vision is the estimation of human age from face images. A vital characteristic in establishing the identity of the person is the age. Age estimation from face images continues to be an extremely challenging task compared to other cognition problems. Age is a crucial factor in ascertaining the identity of a person. Age is estimated from the human face images available in the database by existing age estimation systems. But, they cannot estimate the age of an unknown person. A new age estimation system is employed to overcome this issue. The primary intension of this work is to develop an age estimation system to estimate the age of humans from their facial images. The proposed system consists of three processes. Face detection is the first process that normalizes the facial images. The next process extracts the facial features from the normalized facial images. Finally the age is estimated using Multilinear Principal Component Analysis. The efficiency of the proposed system is compared with single and three features extracted from the facial image. From the comparative analysis, it can be seen that the proposed system will effectively estimate the age from the known and unknown person´s facial image with remarkable Mean Absolute Error (MAE) and Cumulative Score (CS) measurements.