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This paper proposes three clustering-based discriminant analysis (CDA) models to address the problem that the Fisher linear discriminant may not be able to extract adequate features for satisfactory performance, especially for two class problems. The first CDA model, CDA-1, divides each class into a number of clusters by means of the -means clustering technique. In this way, a new within-cluster...
Eye detection is an important initial step in an automatic face recognition system. We present in this paper a real-time accurate eye detection method using color information and wavelet features together with a new efficient Support Vector Machine (eSVM). In particular, this method consists of two stages: the eye candidate selection and validation. The selection stage rejects 99% of the pixels through...
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