现代电子技术2013，Vol.36Issue(2)：16-18,3.
一种基于中值思想的改进人脸识别方法
An improved face recognition method based on idea of intermediate values
摘要
Abstract
The principal component analysis (PCA) is a classical algorithm which can be used for the face recognition sys-tem. It extracts the main component in the sample face images by reducing the dimensionality, maps the face images which need to be identified to the training set, and then figures out the identification outcome by comparison. However, the illumination con-dition is a very important factor affecting the result of the discrimination. To solve this problem, a new method is proposed, in which gray images that are better than LBP are obtained first on the basis of the idea of intermediate values, some redundant fea-tures are removed by the aid of principal component analysis, and then the images are identified again by the PCA algorithm. The experimental results demonstrated the effectiveness of this method.关键词
中值/人脸识别/主成分分析/光照条件Key words
intermediate value/face recognition/principal component analysis/light condition分类
信息技术与安全科学引用本文复制引用
郭浩,王国宇..一种基于中值思想的改进人脸识别方法[J].现代电子技术,2013,36(2):16-18,3.基金项目
国家自然科学基金:水下图像的后向散射噪声抑制及其盲复原方法研究(60772058) （60772058）
