一种基于PCA类内平均脸法和支持向量机模型的人脸识别算法

摘要

Given some problems in current face recognition algorithm,this paper conducts pretreatments to face image data obtained by within-class average face method,after which the image data is classified and recognized by support vector machine model.Finally we verify the effectiveness of the employed PCA-SVM algorithm by means of specific experimental data,providing evidence for further research into face recognition technology.%针对现有人脸识别算法存在的一些问题,利用PCA类内平均脸方法对获得的人脸图像数据进行预处理,再通过支持向量机模型对其进行分类和识别。最后,以具体的实验数据验证了所使用PCA-SVM算法的有效性,为日后对人脸识别技术的继续研究提供了依据。