Face recognition using Gabor filters, PCA and Neural Networks

被引：0
|
作者：
Slavkovic, M. [1 ]
Reljin, B. [1 ]
Gavrovska, A. [1 ]
Milivojevic, M. [1 ]
机构：
[1] Univ Belgrade, Sch Elect Engn, Innovat Ctr, Belgrade, Serbia
来源：
2013 20TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2013) | 2013年
关键词：
face recognition; PCA; Gabor filters; FENN; backpropagation;
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：
This paper proposes a face recognition system based on Gabor image representation, principal component analysis and neural networks. Gabor filter bank at 5 scales and 8 orientations is used for face representation. The dimensionality of Gabor representation of face images is reduced by the Principal component analysis. The images are classified using the Feed forward neural network with backpropagation learning algorithm. The ORL database of faces is used for testing.
引用
收藏
页码：35 / 38
页数：4
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