计算机应用与软件2012，Vol.29Issue(1)：257-259,279,4.
基于多尺度LBP的人脸识别
FACE RECOGNITION BASED ON MULTI-SCALE LBP
赵怀勋 1徐锋 1陈家勇1
作者信息
- 1. 武警工程学院通信工程系 陕西西安710086
- 折叠
摘要
Abstract
A face recognition algorithm based on multi-scale Local Binary Pattern (LBP) is proposed. In the algorithm, we establish the Gaussian difference scale space for face images, calculate the LBP features of the scale space images, divide the LBP feature of images into non-overlapping characteristic areas, and then conduct the histogram statistics on them respectively. Finally the multi-scale LBP features are derived by connecting the LBP histogram of sequences in all areas, and the nearest neighbour classifier is used for face image classification and recognition. Experimental analysis shows that the multi-scale LBP features of face images have strong ability of describing face images, and can extract much richer global information with strong robustness, it has a higher recognition rate and recognition ratio than those of the SIFT algorithm.关键词
多尺度/LBP/人脸识别Key words
Multi-scale/LBP/Face recognition分类
信息技术与安全科学引用本文复制引用
赵怀勋,徐锋,陈家勇..基于多尺度LBP的人脸识别[J].计算机应用与软件,2012,29(1):257-259,279,4.
