Research of Face Recognition Method Use of MRA-Framework
Abstract: After adding noise, face recognition rate of the traditional PCA method will be significantly lowered. This paper will use methods of orthogonal wavelet + PCA and wavelet frame + PCA to study it respectively. First, we add noise to deal with the image, then decompose the image under the use of orthogonal wavelet and wavelet frame; next, for the subgraph that has decomposed we will reduce the dimensionality and feature extraction using PCA method respectively; finally, we use third-order nearest neighbor as the classifier to classify and identify it. Through the test and veri-fication of the ORL face database, it shows the effectiveness of this method, which is a good way to improve the recognition rate of face image under the condition of adding noise.
文章引用: 吴兆英 , 李万社 , 马峰 (2016) 利用MRA-框架的人脸识别方法的研究。 建模与仿真， 5， 1-8. doi: 10.12677/MOS.2016.51001
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