Improvement of Performance Evaluation for Iris Pattern Recognition
Raj.M.Chirchi Emmanvel · International Journal of Computer Applications · 2011
In this paper, we describe the performance improvement by reducing FAR and FRR for quality of the algorithm, as the performance evaluation is very important for fast iris identification if the image is occluded or covered by eyelid and very little iris image is retrieve or noisy image, though our algorithm works very efficiently for correct identification of person as it is important for the security system. We use CASIAv3 and UBIRISv1 database. General Terms Pattern Recognition for security systems.