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基于局部二元模式Gabor小波变换的人脸识别

孙海鹏 毕笃彦

计算机应用与软件2011,Vol.28Issue(5):247-248,261,3.
计算机应用与软件2011,Vol.28Issue(5):247-248,261,3.

基于局部二元模式Gabor小波变换的人脸识别

FACE RECOGNITION BASED ON LOCAL BINARY PATTERN GABOR WAVELET TRANSFORM

孙海鹏 1毕笃彦1

作者信息

  • 1. 空军工程大学工程学院,陕西,西安,710038
  • 折叠

摘要

Abstract

This paper proposed a local binary pattern Gabor transform which combines LBP and Gabor transform,encodes the local variety of the multitude of the Gabor features by LBP operator, using histogram to analyze the property of the local variety after LBP encoding,so that preventing information losses as a result of down-sampling and reducing dimensionality. This method combines the advantages of both LBP and Gabor transform,which not only improves the discrimination of the histogram but also significantly reduces dimensionality, Experiments show that the proposed method is more precise than traditional ones.

关键词

局部二元模式/Gabor特征/人脸识别

Key words

Local binary pattern/ Gabor features/ Face recognition

引用本文复制引用

孙海鹏,毕笃彦..基于局部二元模式Gabor小波变换的人脸识别[J].计算机应用与软件,2011,28(5):247-248,261,3.

计算机应用与软件

OA北大核心CSCDCSTPCD

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