计算机工程2011，Vol.37Issue(7)：228-230,3.DOI:10.3969/j.issn.1000-3428.2011.07.077
改进的模块2DPCA人脸识别算法
Improved Face Recognition Algorithm of Modular 2DPCA
摘要
Abstract
An improved modular Two-Dimensional Principal Component Analysis(2DPCA), modular 2DPCA based on sub-distance, is proposed.The original images are divided into sub-images in proposed algorithm.Each kind of sub-images at the same position is disposed by 2DPCA independently, and the sub-distance between the corresponding sub-images of the test sample and the train sample can be given.The distance between the test sample and the train sample can be calculated by adding all these distances between the sub-images together, and the nearest distance classification is used to distinguish each face.Experimental results on ORL face database indicate that the improved modular 2DPCA is obviously superior to that of general modular 2DPCA and amendatory modular 2DPCA.关键词
二维主成分分析/子距离/模块二维主成分分析/特征提取/人脸识别Key words
Two-Dimensional Principal Component Analysis(2DPCA)/ sub-distance/ modular 2DPCA/ feature extraction/ face recognition分类
信息技术与安全科学引用本文复制引用
张岩,武玉强..改进的模块2DPCA人脸识别算法[J].计算机工程,2011,37(7):228-230,3.基金项目
教育部科学技术研究基金资助重点项目(208074) （208074）
济宁学院科研基金资助项目(2009KJLX04) （2009KJLX04）
