Face Feature Extraction and Recognition Method for Multi-scale Local Structure-based Image Decomposition

doi:10.3969/j.issn.1006-2475.2015.03.011

Abstract

Abstract: In order to effectively extract the global and local features to improve the performance of face recognition, this paper presents a robust yet simple feature extraction method, called multi-scale image decomposition based on local structure. In the algorithm, the face image pyramid is first constructed through a multi-scale analysis. Then the local structural information by describing the relationship between the central macro-pixel and its neighbors for each level of the image pyramid is captured. In this way, one image is actually decomposed into a series of sub-images. Finally, all the structure images, after being down-sampled, are concatenated in one super-vector. Experimental results show that the proposed method is superior to some traditional methods such as Gabor, LBP and IDLS.

Key words: multi-scale, image pyramid, image decomposition, local structure feature, face recognition

CLC Number:

TP391

FENG Xiang, YANG Jian, QIAN Jian-jun. Face Feature Extraction and Recognition Method for Multi-scale Local Structure-based Image Decomposition[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.03.011.

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