Recital study of iris detection technique with hybrid feature removal method and optimized by PSO

In the paper, the amalgamation of block sum and Haar transform algorithms like mixed algorithm. It is based best trait removal method accessible for iris detection method. Iris images will be classified by using Particle Swarm Optimization technique. Initially in the preprocessing step, the images are localized and segmented and unwrapped to rectangular blocks which are then decayed by circular Daugman Rubber Sheet model. Experimental result shows that the proposed technique is more suitable in comparison to the established technique. The complete simulation is being done in MATLAB 2012@ software with False Acceptance Rate, False Rejection Rate and recognition rate as parameters.