Image quality assessment for iris biometric

Nathan D. Kalka, Jinyu Zuo, Natalia A. Schmid, Bojan Cukic, Patrick J. Flynn, Sharath Pankanti
2006 Biometric Technology for Human Identification III  
Introduction Image quality assessment plays an important role in automated biometric systems for two reasons: (i) system performance and (ii) interoperability. In this paper we assess image quality from the iris biometric. We study the impact of various factors on performance as well as evaluate which factors can be feasibly compensated. There has been no extensive study on iris image quality from a system performance perspective, though such studies exist for biometrics such as fingerprints
more » ... 5] . Previous works in iris literature focus on one or two quality factors [2, 6] . In this work, we explore a range of causes from sensor-oriented noises to user oriented noises which often degrade image quality.
doi:10.1117/12.666448 fatcat:tpjcbhfv2vfajfcdb26coi4d34