摘要
人脸图像识别是图像识别中最具有代表性的问题。而在人脸图像识别过程中存在着很多模糊灰色不确定因素。本文通过对模糊灰色理论的研究,利用模糊灰色理论方法对人脸图像进行识别,可以减少所需原始数据,保证并提高识别精度。
Facial image recognition is the most typical problem among image recognition. But there are a lot of fuzzy and gray uncertain factors among facial image recognition process. This paper researched on the fuzzy and gray theory, recognized facial image by fuzzy and gray method, which can reduce original data and guarantee and improve the precision.
出处
《长春理工大学学报（自然科学版）》
2007年第1期60-62,共3页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
江苏省教育厅自然科学研究计划项目(05KJD470200)
关键词
模糊灰色理论
人脸图像识别
fuzzy and gray theory
facial image recognition
