Optimization Technique for Improving Iris Recognition System

摘要: Over the years it has been known that iris patterns have a wonderful and rich structure are full of complex textures in contrast to other physiological characteristics. Iris is inner organ human body directly band easily visible with nacked eye. Because its special physiology architecture, becomes very sensitive status all organs.IRIS recognition particular type biometric system can be used reliably identify person by analyzing found IRIS. Many techniques developed for recognition. As an open demanding problem, accurate modeling polarization curve proton exchange membrane fuel cell become main issue various researches. In recent years, because their great potentials, metaheuristic optimization algorithms represented good performances identification unknown parameters model, but there possibility obtain more results capable algorithms. literature, many heuristic on basis natural phenomena. However, still some possibilities devise new ones. this paper, evolution bird species regarded, intelligent behavior birds during mating season inspiration algorithm, named optimizer.  we implemented BMO(Bird optimization) improve accuracy system. This was research project as never integrated PSO (Particle swarm optimization)was also & gave 96% accuracy. BMO per provides than Ant colony optimization/Particle or any Genetic algorithm.