Guanghong Gao

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In this paper, a novel feature extraction algorithm,called Slant discriminant analysis (SDA), is proposed. SDA aims to use the relation of rows and columns of image samples to extract the directional feature of the image samples. The proposed algorithm is applied to image classification on Yale face Database.The experimental results demonstrate the(More)
In this paper, a novel image feature extraction algorithm, called Subsampling based neighborhood preserving embedding (SNPE), is proposed. SNPE aims to preserve the neighborhood of the subsampling image samples. The proposed algorithm is applied to image classification on Finger-Knuckle-Print database. The experimental results confirm the effectiveness of(More)
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