Face detection using eigenface and neural network

被引：10
|
作者：
Tsai, C. C. [1 ]
Cheng, W. C. [1 ]
Taur, J. S. [1 ]
Tao, C. W. [2 ]
机构：
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung, Taiwan
[2] Natl I Lan Inst Technol, Dept Elect Engn, Taichung, Taiwan
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年
关键词：
face detection; eigenface; neural network;
D O I：
10.1109/ICSMC.2006.384817
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Face recognition is a popular research topic in the biometric identification area. Face detection and localization is the most important pre-processing module of a face recognition system. The purpose of face detection is to search and localize the positions of faces in an image in the varied background. In this paper, we propose a face detection system which combines the eigenface algorithm with the neural network. The candidate face region is examined to see if it is a face image block by analyzing the geometrical distribution of the edges in the region. In our experiments, the proposed face detection system has a high face detection rate and less false detections.
引用
收藏
页码：4343 / +
页数：2
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