User Authentication Using Multimodel Finger-Print Recognition

The biometric systems that source the single biometric identifier with the purpose of personal identification are considered poor in the performance evaluation of requirements. In this paper the study of fingerprint verification is carried out using the integration of three unimodal techniques. A Fuzzy based decision making model is employed for accepting inputs from three recognition methods to reveal identity of recognized person. Preliminary results explore the superiority of algorithm over other parallel methods in terms of reliability against identity recognition and established techniques.