Face Recognition based on SWT and Procrustes Analysis

The face images are physiological biometric traits and are acquired with simple cameras for recognition of a person for security issues. In this paper, we propose face recognition based on SWT and Procrustes analysis. The face database is created by considering a number of persons with many images per person. The face images are resized to 128* 128. One frontal image from a number of image samples of a person is considered as a reference image. The Stationary Wavelet Transform (SWT) is applied on the frontal reference image and also non-frontal images of a person. The Procrustes Analysis is performed on nonfrontal images with respect to frontal reference images to convert non-frontal to frontal images. The SWT matrices are converted into row vectors. The SWT row vector of frontal reference images is concatenated with SWT row vectors of nonfrontal images to obtain final features. The Euclidean Distance (ED) is used to compare final features of database and test images to compute performance parameters. It is observed that the performance of the proposed method is better compared to existing methods