Face Recognition using Discrete Cosine Transform and Fisher Linear Discriminant

被引：0
|
作者：
Vaidehi, V. [1 ]
Babu, N. T. Naresh [1 ]
Avinash, H. [1 ]
Vimal, M. D. [1 ]
Sumitra, A. [1 ]
Balmuralidhar, P. [2 ]
Chandra, Girish [2 ]
机构：
[1] Anna Univ, MIT, Dept Elect Engn, Chennai 600044, Tamil Nadu, India
[2] TCS, Bangalore, Karnataka, India
来源：
11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010) | 2010年
关键词：
Discrete Cosine Transform (DCT); Fisher Linear Discriminant (FLD); Principal Component Analysis (PCA);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an efficient method for face recognition based on the Discrete Cosine Transform (DCT), Fisher Linear Discriminant (FLD) and classifier is presented. First, the dimensionality of the original face image is reduced using the DCT and illumination variations are alleviated by discarding the first few low-frequency DCT coefficients. FLD is applied to the selected DCT coefficients to discriminate the invariant facial features. The KNN classifier is used for the recognition of the faces using the features extracted from the FLD. Simulation results show that the proposed system achieves better performance with high training and high recognition rate as well as very good illumination robustness.
引用
收藏
页码：1157 / 1160
页数：4
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