An Efficient Learning Using Iris and Fingerprint Multi-Modal Biometirc Authentication System
Keywords:
Biometrics, Security, Classification, Iris, FingerprintAbstract
Biometrics deals with the technical field for body dimensions and controls. It states various metrics related to characteristics of the human. Biometrics verification is used in processors as a method of access control. It deals with the identification of the individuals in clusters that are under investigation. Biometric are the unique, measurable features used to tag and describe entities. Biometric are often considered as physical versus behavioral features. Physical features are related to the form of the physique. Examples comprises of fingerprint, veins, recognition of face, palm pattern, hand, iris acknowledgement. Behavioral features are related to the shape of a person which are not limited to gait, and voice. Various researchers have invented the term performance metrics to define the latter discussion of biometrics. So this paper deals with the biometric fusion of iris and fingerprint which provides more security for the authentication of authentic individual and the performance will be evaluated in terms of false acceptance rate, false rejection rate and accuracy of the system.
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