Fingerprint Authentication System Using Hybrid Classifiers
Fingerprints are considered as the most widely accepted biometric feature for uniquely identify a person in the field of biometrics. The existing system only contains bayes classifier to improve the retrieval speed and to perform one to many fingerprint matching. When compared to proposed system, the previous work degrades with performance features like accuracy, consistency and retrieval speed. This fingerprint authentication system uses the combination of Henry classification system at enrollment process and Bayes classification system at authentication process. This paper mainly focuses on fingerprint classification and presents an approach to speed up the matching process by classifying the fingerprint pattern into different groups using Henry classification system.