Age groups classification based on ratios in facial images

Abstract EN

Age classification from human face is a very challenging problem because the appearance of a particular face varies due to changes in pose, expressions, illumination, and other factors such as make-up, occlusions, or image degradations caused by blur and noise etc.

This paper explains a method for age groups classification based on the primary face features extraction, then calculate the ratios of the distance between these features to distinguish age groups of the input image into one of three groups : baby, young adults or senior adults.