HUMAN AGE ESTIMATION

Information Science & Eng

NATIONAL CONFERENCE on VLSI, COMMUNICATION AND SIGNAL PROCESSING (NCVCS-2017)

Estimating the age is used for identifying the age based on thresholding classification using global and local features for surveillance monitoring and finding the lost children. Several problems will be considered for identifying the age such as gender classification, facial expression and selection of age progression which causes error in selecting the features in the image for identifying the age correctly. In this work, the effects of gender and facial expression on age estimation using thresholding method are investigated. Our work follows three ways for measuring the Features. First, the accuracies of age estimation using a single-level local binary pattern (LBP) and a multilevel LBP (MLBP) are compared. Second, we compare the accuracies of age estimation using global features extracted by MLBP, local features extracted by Gabor filtering, and third the combination of the two methods and compare the results of feature extraction with three different methods are compared and analyzed

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