Principle Component Analysis to Recognize Face, Iris and Finger Print Image

Mono modal biometric systems have a variety of problems such as noisy data, inter & intra class variations of freedom, non-universality, spoof attacks and non acceptable errors. These limitations can be addressed by using multi modal biometric systems that integrate the evidence presented by multiple information sources. Multi instance biometrics for persons authentication improves recognition rate. These systems are to improve its recognition rate, reduce spoofing and be avoid to fault tolerance of different mono modal biometric systems. In this paper present a multi modal biometric authentication method using face, iris and fingerprint based on Principle Component Analysis. This methods prevents the drawback of the common mono modal biometric systems. It allow to creating a flexible general-purpose and design for multi modal biometric systems.