2011 · 25 citations · 5 references
ComputingSystems EngineeringComputer VisionMachine VisionSensor FusionBiometric AuthenticationMultisensor Data IntegrationSensor IntegrationSensor InterfacingSensor RegistrationTemplate MatchingBiometric MatchingBiometric System Performance EvaluationCross-sensor FusionIris ImagingIris MatchingIris RecognitionOcular BiometricsSystem Performance Modeling
As iris biometrics increasingly becomes a large-scale application, the issue of interoperability between iris sensors becomes an important topic of research. This work presents experiments which compare three commercially available iris sensors and investigates the impact of cross-sensor matching on system performance. The sensors are evaluated using three different iris matching algorithms, and conclusions are drawn regarding the interaction between the sensors and the matching algorithm in a cross-sensor scenario.
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Factors that degrade the match distribution in iris biometrics
Kevin W. Bowyer, Sarah E. Baker, Amanda Hentz et al. · Identity in the Information Society · 2009 · 58 citations · Full text