Class Dependent 2D Correlation Filter for Illumination Tolerant Face Recognition

This paper proposes a class dependent 2D correlation filtering technique in frequency domain for illumination tolerant face recognition. The technique is based on the frequency domain correlation between phase spectrum of reconstructed image and the phase spectrum of optimum correlation filter. The optimization is achieved by minimizing the energy at the correlation plane due to resonstructed image and maximizing the corelation peak. The synthesis of optimum filter is developed by using the projecting image. Peak to side lobe ratio (PSR) is taken as the metric for recogntion and classification. The performance evaluation of this technique is validated by comparing performance of other unconstrained filtering techniques using benchmark databases (Yale B and PIE) and better results are obtained.