Noisy face recognition using compression-based joint wavelet-transform correlator

A new method for noisy face recognition by incorporating wavelet filter into compression-based joint transform correlator (JTC) is proposed. The simulation results show that the proposed method has advantages over the conventional compression-based JTC in that regardless of the contrast and the noise level of the target, the wavelet filter can optimize the recognition performance to be higher than the classical JTC, provided compressed references have high contrast.