Fuzzy Approach for Solving Security Issues in Personal Identification

Abstract

Our objective was to design new algorithm to increase security issues in multimodal biometrics. Multimodal biometrics is used to reduce FAR, FRR and FER. Our proposed algorithm is New Modified RSA Algorithm . We have selected theses algorithm because it can be used for fuzzy approach to increase the optimization for selection of personal identification. We have used wavelet transformation for increasing the enhancement of fuzzy logic. For all these process we have selected six parameters namely MSE, PSNR, SSIM, Quality, Entropy and Time complexity. newlineMulti-modal biometrics are actually a fusion of unimodal biometrics designed to overcome the problems a unimodal.Multimodal biometrics is based on combination of more than one type of biometric modalities or qualities. The goal of multimodal biometrics is used to reduce FRR, FAR and FERi.e. the false accept rate (FAR), the false reject rate (FRR) and the failure to enroll rate (FER) biometric parametric errors. newlineIn our work we have collected sample images of Face, Iris, Finger and Palmprint of more than 5000 persons. We have purchased devices for collecting sample images of multimodal. Four algorithms related to security issues of multimodal using fuzzy logic was studied in detail and new algorithm namely New Modified RSA is developed. In these new algorithm we found higher accuracy of encryption. All the five algorithms were compared on the basis of accuracy and performance evaluation. In these algorithm we have used fuzzy approach to increase the optimization for selection of personal identification.Accuracy of person identification by using our algorithm was high. We have filed for patent of our algorithm newline newline