Fusion Based Face Recognition System using 1D Transform Domains

The biometric is used to recognize a person based on physiological and behavioral traits. In this paper, we propose Fusion based Face recognition using 1D transform domain. The two dimensional face images are converted into one dimensional (1D). 1D- DWT and FFT are used to extract features of face images. The features of 1D- DWT and 1D- FFT are compared between database and test images using Euclidian Distance (ED) to compute the performance parameters, which are fused at matching level to obtain better results. It is observed that, the performance of the proposed method is better compared to extracting methods.