Subsampling Based Neighborhood Preserving Embedding for Image Classification
Liyan Zhao, Dong Zou, Guanghong Gao · 2013
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 the proposed algorithm.