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