Iris-Pupil Thickness Based Method for Determining
Age Group of a Person
Asima Abbasi and Muhammad Khan
Shaheed
Zulfikar Ali Bhutto Institute of Sciences and Technology, Pakistan
Abstract: Soft
biometric attributes such as gender, ethnicity and age can be determined from
the iris images. Pupil size plays an important factor in iris template aging.
In this study, statistical experiments are performed to find out confidence
interval for Iris-Pupil thickness of different age groups such as children, youth
and senior citizen. Significant group differences have been observed by
applying statistical techniques such as Analysis of Variance (ANOVA) and the
Tukey’s pairwise comparison test. The results of the study conclude that the
proposed methodology can be employed to determine age group of a person from
the available iris images. Based on the study results, we argue that performance
of an iris recognition system can be enhanced by identifying age group of the
persons from their iris images.
Keywords: Iris recognition, feature
extraction, iris aging, iris pupil ratio.
Received July 10, 2014;
accepted April 2, 2015;
Published online December 23, 2015