A Review: A Comparative Analysis on the Biometric Optimization Techniques

Abstract

A review paper on different types of population based Biometric optimization techniques. Now days, it's required to determine the optimal time and population size of the biometrics along with the reduction of the loss, improvement of Voltage Profile and reliability at lowest cost with the growing popularity. Increase in desirability of the optimization techniques are increasing with the demand of electrical energy, reducing the system cost, increasing the population size and reliability of the system, convergence is guaranteed etc. Thus we use different types of optimization techniques such as Genetic Algorithm, BFO, PSO, Ant Colony Optimization etc. These biometric optimization techniques are evaluated on the basis of transition time, population size, number of iteration, cost, FAR, FRR, EER, ACCURACY etc.