Distorted Dactylogram Matching Based on Fuzzy Interference Technique

Abstract

Fingerprint recognition refers to the automated methodology of characteristic or confirming the identity of an individual depend on the comparisson of two fingerprints. Fingerprint recognition is one of the most growing technology in biometrics The reasons for fingerprint recognition being so familiar are the ease of acquisition, established use and acceptance when compared to other biometrics, and the reason that there are numerous (ten) sources of this biometric on every individual. Fingerprint obfuscation indicate the deliberate alteration of the fingerprint by an individual for the purpose of masking his identity. Altered fingerprints are classified into three categories. They are depend on the changes in ridge pattern due to alteration as obliterated, distorted and imitated. The projected algorithmic rule supported the trivialities depend on the minutiae extracted satisfies the important requirements and determine the alteration type automatically to reconstruct altered fingerprints. In order to conquer the drawbacks of existing techniques, we introduced an efficient and robust fingerprint matching technique via fuzzy based logic.