Age estimation from facial images using biometric ratios and wrinkle analysis

A great deal of information can be inferred from human facial images, such as emotions, gender, race, and age. Recently age estimation has developed a variety of applications including, internet access control, underage prevention of cigarette and alcohol machines, and many more. This paper presents a method to classify facial images into 3 evenly distributed age groups. Biometric ratios and wrinkle analysis are used to define features of faces. Three different classifying algorithms have been used for prediction. Testing is done using hold-out approach. A sufficiently large database is used to validate the credibility of results.