A hybrid system for automatic fingerprint identification

A hybrid fingerprint identification system is presented in this paper. The system consists of several steps: fingerprint enhancement, minutiae extraction, texture feature extraction, fast texture matching, and minutiae matching. The proposed hybrid matching system needs fewer steps to identify individuality than traditional methods. Our approach has been tested on a reasonably large fingerprint database and the experimental results show an effective performance without matching every fingerprint in database.