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Multimodal eye recognition can improve the biometric systems recognition accuracy by combining iris and sclera recognition. However, poor quality images can significantly affect the system performance. In this paper, we proposed a quality fusion based multimodal eye recognition. Our quality measure evaluated the entire eye image quality, iris area quality, and sclera area quality. The experimental...
Sclera recognition can be used for human identification. However, if the sclera images cannot be properly segmented by the system or the images of sclera patterns are defocused and/or saturated, it can significantly affect the accuracy of sclera recognition. In this paper, we propose a comprehensive sclera image quality measure which can quickly detect if the image has a valid eye1, assess the image...
For positive human identification, the iris has been shown to be a stable and reliable biometric. However, it is permanently bounded with an individual and its pattern is very hard to reissue when “stolen”. Thus, cancelable biometrics is a desirable solution to ensure the revocability and alternative of an iris template when compromised. The traditional cancelable biometrics approaches often compromise...
Non-ideal iris images can significantly affect the accuracy of iris recognition systems for two reasons: 1) they cannot be properly preprocessed by the system; and/or 2) they have poor image quality. However, many traditional iris recognition systems have been deployed in law enforcement, military, or many other important locations. It will be expensive to replace all these systems. It will be desirable...
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