Iris Image Quality Assessment for Biometric Application
Image quality assessment plays an important role in the performance of biometric system involving iris images. Data quality assessment is a key issue in order to broaden the applicability of iris biometrics to unconstrained imaging conditions. In this paper, the authors have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. The paper has been carried out for the following databases: CASIA, UBIRIS, UPOL, MMU and their own created COEP Database using HIS 5000 HUVITZ Iris Camera. The comparison is also done with existing databases which in turn will act as a benchmark in increasing the efficiency of further processing.