A Novel Framework for Iris and Thumbprint Recognition using Optimization Algorithms

Objectives: Two biometrics i.e. iris and thumbprint has been fused. Both biometrics has been chosen as they have worked well when applied as uni-modal system. The main goal of proposed module is that worked better to optimize the extracted features. Methods/Statistical Analysis: For reduction of features of iris, BFO has been utilized and for thumbprint GA has been used because GA have capability to optimized feature sets on the basis of fitness function according to our requirement. Findings: Low the FAR, FRR rate, high the efficiency of the system and high the recall ate value high is the efficiency of the biometric system. Application/Improvements: It has been seen that proposed algorithm has provided good results having FAR is 0.76; FRR is 0.94 and accuracy of 98%.