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, 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.
Keywords: Biometrics, iris, image quality assessment, quality factor, segmentation, iris recognition
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ABOUT THE AUTHORS
U. M. Chaskar
U. M. Chaskar is working as an Assistant Professor in the Department of Instrumentation and Control at College of Engineering Pune. His research interest includes Pattern recognition, Biometrics, Biomedical Instrumentation, Embedded System, etc..
M. S. Sutaone
M. S. Sutaone is working as a Professor and Head in the Department of Electronics and Telecommunication at College of Engineering Pune. He is actively involved in Collaborative projects at College of Engineering Pune. His research interest includes Pattern recognition, Image Processing, Embedded System, etc..
N. S. Shah
N. S. Shah is currently working as a Research and Development Engineer at Nulife Global Medical Devices Pvt. Ltd Mumbai. Prior to that he was a graduate students at Department of Instrumentation and Control, College of Engineering Pune His research interest includes Image processing, Embedded system, etc..
Jaison. T
Jaison. T is graduate student at Department of Instrumentation and Control, College of Engineering Pune. He is working on image quality assessment for iris recognition for his thesis
U. M. Chaskar
U. M. Chaskar is working as an Assistant Professor in the Department of Instrumentation and Control at College of Engineering Pune. His research interest includes Pattern recognition, Biometrics, Biomedical Instrumentation, Embedded System, etc..
M. S. Sutaone
M. S. Sutaone is working as a Professor and Head in the Department of Electronics and Telecommunication at College of Engineering Pune. He is actively involved in Collaborative projects at College of Engineering Pune. His research interest includes Pattern recognition, Image Processing, Embedded System, etc..
N. S. Shah
N. S. Shah is currently working as a Research and Development Engineer at Nulife Global Medical Devices Pvt. Ltd Mumbai. Prior to that he was a graduate students at Department of Instrumentation and Control, College of Engineering Pune His research interest includes Image processing, Embedded system, etc..
Jaison. T
Jaison. T is graduate student at Department of Instrumentation and Control, College of Engineering Pune. He is working on image quality assessment for iris recognition for his thesis
