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The iris is a highly accurate biometric identifier. However widespread adoption is hindered by the difficulty of capturing high-quality iris images with minimal user co-operation. This paper describes a first-generation prototype iris identification system designed for stand-off cooperative access control. This system identifies individuals who stand in front of and face the system after 3.2 seconds...
In this paper the generalized kernel Fisher discriminant (GKFD) method is used to do pattern feature extraction for human face image. First, we extend the KFD originally used in pattern classification problems to the generalized KFD (GKFD), which will be used in feature extraction problems. Compared to several commonly used feature extraction methods, the GKFD can not only reduce the dimension of...
A novel face recognition method based on multi-features using a neural networks committee (NNC) machine is proposed in this paper. The committee consists of several independent neural networks trained by different image blocks of the original images in different feature domains. The final classification results represent a combined response of the individual networks. Then, we use the designed neural...
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