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Subsampling Based Neighborhood Preserving Embedding for Image Classification

机译:基于次采样的邻域保留嵌入的图像分类

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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.
机译:摘要-本文提出了一种新的图像特征提取算法,称为基于子采样的邻域保留嵌入(SNPE)。 SNPE旨在保留子采样图像样本的邻域性。该算法被应用于手指指印数据库的图像分类。实验结果证明了该算法的有效性。

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