Efficient and Secure Cancelable Biometric Authentication Framework Based on Genetic Encryption Algorithm

Various cancelable biometric techniques have been proposed to maintain user data security. In this work, a framework is introduced satisfy security and keeping the original template safe away from intruders. Thus, our main contribution presenting novel authentication based on evolutionary Genetic Algorithm (GA)-based encryption technique. The suggested produces an entirely unrecognized by hiding whole discriminative features of templates; with exploiting outstanding characteristics employed operations utilized Firstly, GA initiates its search population templates, not single template. Secondly, some statistical operators are used exploit resulting initial generate successive populations. Finally, crossover mutation performed produce ultimate templates. Different databases face fingerprint templates tested analyzed. achieves appreciated sensitivity specificity results compared conventional OSH (Optical Scanning Holography) algorithm. It accomplishes recommended outcomes in terms AROC (Area under Receiver Operating Characteristic) probability correlation distribution between biometrics encrypted stored database. experimental prove that excellent even if system suffers different noise ratios. average value 0.9998, EER (Equal Error Rate) 2.0243×10 -4 , FAR (False Acceptance 4.8843×10 FRR Rejection 2.2693×10 .