An Automatic Fingerprint Identification System using multiple classifiers
نویسنده
چکیده
Biometric applications have been wildly used nowadays. A fingerprint identification system is the most popular system due to the affordable price of a fingerprint scanner. An automatic fingerprint identification system (AFIS) using multiple classifiers is presented in this paper. The system consists of several steps: f ingerprint enhancement, minutiae extraction, texture feature extraction, texture matching, and minut iae matching. The proposed matching system has been tested on a reasonably large fingerprint database and the expe r imen ta l r esu l t s show an e f f ec t i ve performance.
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