Palvi Sharma, Manit Kapoor, Dr. Naveen Dhillon
Abstract: Todays the single biometrics feature is not sufficient to provide secure authentication. Most of the multi-modal techniques are lacking in security aspect. Biometric system utilize in various system for the identification or authentication approval. Biometric authentication system utilizes various biometric traits for the matching between various biometric traits. These feature values that have been computed by using various approaches for biometric traits like face, finger and iris. These feature value has been stored in database for matching purpose using distance classifier. After fusion these values has been computed for all the images present in the database and then test images has been selected and undergoes matching process on the basis of distance classifier. Min distance computed represents the maximum matching of the feature of different biometric traits. Parameter selected for the performance evolution of proposed system are FAR (False Acceptance Rate), FRR (False Rejection Rate) and ACCURACY.
Keywords: Bio-metrics, Multi-Thresholding