Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
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In this paper we present a fully automated mobile camera device platform that will automatically adjust to the eye-levels of the persons in front or approaching the system. This system serves as a front-end to aid the face recognition and iris recognition systems during both the enrollment and verification of different people of variable heights. Currently most systems are positioned at fixed heights and require subjects who are very tall or short to adjust themselves for enrollment. In some cases this requires the enrollment system operator (or officer) to adjust the camera system accordingly to the user's height. This leads to much failure to acquire errors. The current U.S. VISIT system, Immigration officers manually move the camera goose-necks to adjust to the height of the visitors for photographing. The system presented in this paper can fully automate this process by automatically adjusting the height of the camera (or other biometric device such as Iris acquisition systems) to provide a good enrollment/verification photo image for matching using the automated face detection to drive the biometric sensors to the appropriate height level. The need for such a system can help the results obtained by the Independent Testing of Iris Recognition Technology (ITIRT) [6] and face recognition systems that can lead to minimal user co-operation.