MLP-based face recognition with Gabor filters and PCA

被引：1

作者：

González-Ortega D. ^{[1
]}

Díaz-Pernas F.J. ^{[1
]}

Antón-Rodríguez M. ^{[1
]}

Martínez-Zarzuela M. ^{[1
]}

Díez-Higuera J.F. ^{[1
]}

机构：

[1] Higher School of Telecommunications Engineering, University of Valladolid, Valladolid

来源：

Pattern Recognition and Image Analysis | 2013年 / 23卷 / 1期

关键词：

Difference of Gaussians; Face recognition; Gabor filter; MLP; PCA;

D O I：

10.1134/S1054661812030030

中图分类号：

学科分类号：

摘要：

In this paper, we present a multiple scale neural architecture for face recognition. The architecture is composed of several stages: face detection, Difference of Gaussians, Gabor filter bank, Principal Component Analysis, and two-stage MLPs. The architecture was evaluated using two well-known face databases. A detailed study of all the parameters that influence the architecture performance was carried out. The architecture achieved a correct detection rate of 84% with face images changing in pose and gesture. © 2013 Pleiades Publishing, Ltd.

引用

页码：10 / 25

页数：15

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