Age Group Estimation from Human Iris

The paper presents the approach to determine the age group of a person from an iris structure using less number of features. The performance of a proposed method is evaluated based on five different classifiers. Our methodology improves on earlier methods in terms of classification accuracy and F1 score. The study also proved that human iris structure has age-related information and therefore can be used to predict age. The existing iris biometric systems can be advanced with this method if they show an age in spite of just accepting or rejecting a person.