计算机工程与应用2011，Vol.47Issue(13)：208-211,4.DOI:10.3778/j.issn.1002-8331.2011.13.059
基于DCT与LDA的仿生人脸识别研究
Biomimetic pattern face recognition based on DCT and LDA.
摘要
Abstract
A new method of biomimetic pattern face recognition theory based on DCT and LDA is proposed. This method has solved the low recognition rate and the excessively high dimension problem. The features of human face on the training samples are extracted through DCT and LDA, which are mapped into the high-dimensional space through kernel function and the high-dimensional space characteristic is used to construct the cover region of each kind of samples. The human face is distinguished through the judgment that the human face characteristic belongs to which kind of cover region or doesn't belong to any region. The experiment on Yale and ORL face library demonstrates this method achieves much better results in the efficiency and the feasibility of human face recognition.关键词
离散余弦变换(DCT)/线性鉴别析(LDA)/仿生模式识别/高维空间覆盖Key words
Discrete Cosine Transform(DCT)/Linear Discriminant Analysis(LDA)/biomimetic pattern recognition/high dimentional space cover分类
信息技术与安全科学引用本文复制引用
周书仁,邵晶,蒋加伏..基于DCT与LDA的仿生人脸识别研究[J].计算机工程与应用,2011,47(13):208-211,4.基金项目
湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.10jj2050) （the Natural Science Foundation of Hunan Province of China under Grant No.10jj2050）
湖南省科技计划项目(No.2009FJ3064). （No.2009FJ3064）
