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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...
Predicting performance of face recognition systems on previously unseen data is very useful for deploying these systems in different places. Different extrinsic and intrinsic factors like illumination, pose, expression, etc. affect matching performance of even the best of face recognition algorithms. This makes it difficult for one to accurately predict how a system will perform at a new deployment...
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