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Linear discriminant analysis (LDA) has been widely applied for hyperspectral image (HSI) analysis as a popular method for feature extraction and dimensionality reduction. Linear methods such as LDA work well for unimodal Gaussian class-conditional distributions. However, when data samples between classes are nonlinearly separated in the input space, linear methods such as LDA are expected to fail...
Iris recognition is of great significance in biometric technologies, due to the highest reliability and accuracy. As the first crucial step of iris recognition, iris segmentation is continuously and widely studied. A novel iris location method, based on rotation average analysis of intensity-inversed image, is presented here for iris segmentation: First, it locates the pupil by checking the consecutive...
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