Abstract：A new method based on two-dimensional feature extraction in the complex domain is proposed for face recognition in this paper. First, face images are performed by mirror transform, and the original face samples and the corresponding mirror samples are used to compute the even symmetry samples and the odd symmetry samples, respectively. The even symmetry samples and the odd symmetry samples are used to form complex samples by an odd-even weighted factor. Then the complex image within-class scatter matrix and the complex image between-class scatter matrix are defined in the complex domain, respectively, to calculate a family of optimal complex projection axes, and complex face samples are projected onto the family of optimal complex projection axes to extract the face features. Finally, a nearest neighbor classifier is employed to classify the extracted features. The method in the paper is evaluated on the NUST603 face image database. Experimental results show the proposed method achieves better performance.
韩 柯;朱秀昌; 王汇源. 一种基于复数域中二维特征提取的人脸识别方法[J]. 电子与信息学报, 2008, 30(1): 185-189 .
Han Ke①;Zhu Xiu-chang①; Wang Hui-yuan②. A Method Based on Two-Dimensional Feature Extraction in the Complex Domain for Face Recognition. , 2008, 30(1): 185-189 .
2008, Vol. 30 
