Iris image quality assessment for biometric application

被引：0

作者：

Chaskar, U.M. ^{[1
]}

Sutaone, M.S. ^{[2
]}

Shah, N.S. ^{[1
]}

Jaison, T. ^{[1
]}

机构：

[1] Dept. of Instrumentation and control, College of Engineering, Pune (COEP), Pune-411 005 Maharashtra, India

[2] Dept. of Electronics and Telecommunication, College of Engineering, Pune (COEP), Pune-411 005 Maharashtra, India

来源：

International Journal of Computer Science Issues | 2012年 / 9卷 / 3 3-3期

关键词：

Image quality - Image segmentation - Database systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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, we have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. The work has been carried out for the following databases: CASIA, UBIRIS, UPOL, MMU and our 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. © 2012 International Journal of Computer Science Issues.

引用

页码：474 / 478