A review of face recognition algorithms and their application in age estimation

Age estimation of humans is one of the problems in the field of computer vision which is insufficiently researched. To efficiently estimate the age of an individual based on his/her face image, characteristic points of the face have to be determined. In this paper, the most common face recognition algorithms, like Principal Component Analysis (PCA), Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA) and Elastic Bunch Graph Matching (EBGM) will be described. These algoritms will then be compared, and the application in age estimation will be given. At the end of the paper, ideas for future research will be stated.

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