DocumentCode
2870170
Title
Human eyes detection using hybrid neural method
Author
Peng, Hui ; Zhang, Changshui ; Bian, Zhaoqi
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1088
Abstract
In this paper, a novel hybrid neural method for human eyes detection is proposed. Firstly, the input facial image is preprocessed for normalization. Then, the candidates of eyes regions are detected based on a modified version of radial basis function (RBF) neural networks. Finally, a hierarchical knowledge-based approach is presented to validate these candidates and to locate the positions of both eyes. Our method has been tested on a database of facial images and achieves a good performance
Keywords
eye; face recognition; feature extraction; image recognition; knowledge based systems; radial basis function networks; RBF neural networks; eyes regions; face recognition; facial image database; hierarchical knowledge-based approach; human eyes detection; hybrid neural method; input facial image; normalization; radial basis function; Data preprocessing; Eyes; Face detection; Face recognition; Facial features; Humans; Image edge detection; Image resolution; Mouth; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770805
Filename
770805
Link To Document