International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Unibiometric is based on measurement of individual part investigation. Unibiometric system deals with noisy sensor acquisition, non-universality performance rate and so on. And also it may be susceptible to different attacks like man-in-the-middle attack, Trojan horse attack, collision attack and replay attack. Such drawbacks raise the need of multi-biometric system. Multiple biometrics (e.g. face, palm, fingerprint and ear) combines together and form multi-biometric system. In this paper the authors increase the security and accuracy of multi-biometric system by using fuzzy vault and fuzzy commitment schemes. These are the biometric cryptosystems which secure different types of biometric features.