Different Techniques of Age and Gender Prediction from Iris Recognition

Literature survey on the recent developments in age and gender prediction from iris recognition techniques and the survey highlight on two major approaches for human identification, namely biometric identification. Physical ageing is an important factor for practical bio-metrics. Different Age prediction techniques are relatively represented in the literature. Experimentally an approach to age prediction from iris images by using a combination of a small number of very simple geometric features, and a more versatile and intelligent classifier structure which can achieve accuracy to more than 75% .Iris recognition system can be enhanced by identifying age group of the persons from their iris images. Prediction of gender characteristics from iris images has been investigated and some successful results have been reported in the literature, but without considering performance for different iris features and classifiers. This paper also investigates an approach to gender prediction from iris images using different types of features and a more versatile and intelligent classifier structure. Proposed approaches can achieve gender prediction accuracy of up to 90% in the Bio-Secure Databas.