基于加权对称图像的二维FDA人脸识别算法

提出一种融合加权对称图像的二维FDA人脸识别算法。将人脸图像分解为奇偶对称脸，并利用加权因子将奇偶对称脸重构新的人脸样本，通过二维FDA算法求解新样本图像的最优特征子空间进行人脸分类。有效融合二维FDA算法的优点，并利用人脸对称性的特征，同时进一步分析加权因子对人脸识别效果的影响，通过选取最优加权因子最大地提高识别率。在人脸图像库ORL中进行的实验结果表明，该算法有效并能获得较高的识别率。

Two-dimensional FDA Algorithm for Face Recognition Based on Weighted Symmetry Image

A new method based on two-dimensional FDA by combining with weighted-symmetry face is proposed for face recognition.This new algorithm introduces the even symmetry samples and the odd symmetry samples of face images.The even symmetry samples and the odd symmetry samples are used to form new face samples by a weighted actor.The optimal feature projection space of the new face samples is calculated through two-dimensional FDA,algorithm to classify the extracted features.This new method uses effectively not on...