摘要
论文提出了基于图像多路正交投影和最小距离分类器的人脸识别方法。该方法与Fisherfaces方法相比,是基于图像矩阵的,故它的突出优点是极大地提高了特征提取的速度;与最近邻分类法相比,论文提出的最小类距离分类法,在识别性能上有明显的改善。最后,在ORL标准人脸库上的实验结果表明,其特征提取的速度是Fisherfaces特征提取速度的14倍;在相同的特征维数下,识别性能与最近邻法相比也得到较大的提高。
This paper proposes an image multi-orthogonal projection method for face recognition based on least class distance classifier.Compared with Fisherfaces method,it has a desirable property.It is directly based on image matrices, so the time of feature extraction will be saved.And compared with the nearest classifier method,the proposed method improves the accuracy of recognition.Finally,the proposed method is tested on ORL face databases.The experimental results indicate that the speed of feature extraction by the proposed method is nearly 14 times faster than Fisherfaces, and the ability of discriminant method is powerful than the nearest classifier.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第27期77-79,共3页
Computer Engineering and Applications
基金
上饶师院科研基金资助课题
