Improved Fisher algorithm for face recognition based on image segmentation

doi:10.3778/j.issn.1002-8331.2009.19.051

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (19): 165-167.DOI: 10.3778/j.issn.1002-8331.2009.19.051

• 图形、图像、模式识别 • Previous Articles Next Articles

Improved Fisher algorithm for face recognition based on image segmentation

LIANG Shu-fen^1,2,3,GAN Jun-ying^1,2,3

1.School of Information，Wuyi University，Jiangmen，Guangdong 529020，China
2.National Laboratory on Machine Perception，Peking University，Beijing 100871，China
3.CAD&CG National Laboratory，Zhejiang University，Hangzhou 310027，China

Received:2008-12-04 Revised:2009-03-04 Online:2009-07-01 Published:2009-07-01
Contact: LIANG Shu-fen

基于图像分块的改进Fisher人脸识别算法

梁淑芬^1,2,3,甘俊英^1,2,3

1.五邑大学信息学院，广东江门 529020
2.北京大学视觉与听觉信息处理国家重点实验室，北京 100871
3.浙江大学 CAD&CG国家重点实验室，杭州 310027

通讯作者: 梁淑芬

Abstract

Abstract: The features of original image matrixes can be computed directly and rapidly by way of two-dimensional methods，but the classification speed is affected by many features.Combined with the traits of Two-Dimensional Linear Discriminant Analysis（2DLDA），a method of improved Fisher algorithm for face recognition is presented based on image segmentation.Firstly，compression is done to face image respectively，and the corresponding feature matrixes are obtained.Secondly，The improved Fisher algorithm works with matrix representation.Compared with the traditional Fisher method，small samples problem are avoided by the improved Fisher method，in which category information is considered and classification speed is improved.Experimental results on ORL（Olivetti Research Laboratory） and Yale face database show that the propsed method is valid in face recognition.

Key words: face recognition, Two-Dimensional Linear Discriminant Analysis（2DLDA）, the improved Fisher algorithm

摘要： 二维方法用于图像矩阵特征提取，虽然速度快，但影响了分类速度。针对二维线性鉴别分析（Two-Dimensional Linear Discriminant Analysis，2DLDA）的特点，研究了一种基于图像分块的改进Fisher人脸识别算法，该算法首先对人脸图像进行压缩降维处理，得到相应的特征矩阵，然后利用改进Fisher算法对特征矩阵进行类间离散度矩阵和类内离散度矩阵的计算，该算法充分考虑了类别信息，避免了传统Fisher算法造成的小样本问题，有效提高了分类速度。基于ORL（Olivetti Research Laboratory）与Yale人脸数据库的实验结果证明了该算法的有效性。

关键词: 人脸识别, 二维线性鉴别分析, 改进Fisher算法

LIANG Shu-fen^1,2,3,GAN Jun-ying^1,2,3. Improved Fisher algorithm for face recognition based on image segmentation[J]. Computer Engineering and Applications, 2009, 45(19): 165-167.

梁淑芬^1,2,3,甘俊英^1,2,3. 基于图像分块的改进Fisher人脸识别算法[J]. 计算机工程与应用, 2009, 45(19): 165-167.

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Improved Fisher algorithm for face recognition based on image segmentation

基于图像分块的改进Fisher人脸识别算法

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