The prediction of old and young subjects from iris texture
Amanda Sgroi, Kevin W. Bowyer, Patrick J. Flynn · 2013
Researchers have previously studied the prediction of “soft biometric” attributes such as gender and ethnicity from iris texture images. We present the results of an initial study to predict the relative age of a person from such images. We conclude that is possible to categorize iris images as representing a young or older person at levels of accuracy statistically significantly greater than random chance. This suggests that there may in fact be age-related information available in the iris texture, and motivates further study of this topic.