DocumentCode
2769105
Title
A fully automated face recognition system under different conditions
Author
Peng, Hui ; Zhang, Changshui ; Bian, Zhaoqi
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
2
fYear
1998
fDate
16-20 Aug 1998
Firstpage
1223
Abstract
We present a fully automated face recognition system (FAFRS) which contains two components: eyes detection and face recognition. Firstly, a hybrid neural method is proposed to localize human eyes. Then, a dual eigenspaces method (DEM) is developed to extract algebraic features from normalized facial images and perform the recognition task. Experimental results show that the proposed system is effective and robust under different conditions
Keywords
eigenvalues and eigenfunctions; face recognition; feature extraction; multilayer perceptrons; radial basis function networks; algebraic features; dual eigenspaces method; eyes detection; fully automated face recognition system; hybrid neural method; normalized facial images; Artificial neural networks; Automation; Eyes; Face detection; Face recognition; Humans; Image recognition; Neural networks; Radial basis function networks; Read only memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711919
Filename
711919
Link To Document