Provided by: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
In this paper, the authors aim is to develop a classifier network is used for classification and it introduced to increase the learning of machine by which the users can find the recognition rate. For optimizing the error rate and to learn network the users use evolutionary learning technique i.e., Particle Swarm Optimization (PSO) algorithm. They can apply this neural network for biometric problems or data sets include knuckles, ear etc. Biometrics consists of the methods for automatically and uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits possessed by the individuals.