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
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;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711919
