Authentication one of the research areas in recent year there are so many authentication method is there like software, hardware, and biometric the biometric authentication system is one of best authentication process. The biometric system will help to improve the security. The biometric details of the each person are unique. In that reasons the biometric is like Individual password of each person. It is not use by another person and not easily to hack. The biometrics is face, iris, finger print, palm print, etc. The biometric is details of the organs and used those details for authentication, security, recognition. Those biometric details are not hack to easily, not changed in life and unique of each person. But the biometric some drawbacks are there, the accuracy of biometric authentication is low compare to another type authentication system. The miss classification is affecting the authentication accuracy. The finger print is easily hacked by hackers, in same time the voice authentication system miss classification is possible because due to the noise. In our proposed system we use both fingerprint and voice to hybrid both biometric details and give better and accurate authentication system. Here we use the robust classifier of Fuzzy logic to the hybrid authentication system. Biometric-based authentication systems represent a valid alternative to conventional approaches. Traditionally biometric systems, operating on a single biometric feature, have many limitations, which are as follows. Trouble with data sensors: Captured sensor data are often affected by noise due to the environmental conditions (insufficient light, powder, etc.) or due to user physiological and physical conditions (cold, cut fingers, etc.).