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Multimodal Biometric Personal Identification System Based On IRIS & Fingerprint

Biometric systems can recognize individuals according to their physiological or behavioral characteristics. Many times due to some problems like noisy data, non-university, spoof attacks, and unacceptable error rates, a single biometric system can not meet the desired requirements for many user applications. Algorithm based on facts and existing data show that the recognition of an identification or verification system performance can be improved by using more than one biometric "Multimodal Biometric". The proposed system introduced in this paper is based on two biometrics (IRIS and Fingerprint).