Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database

📝 Original Info

• Title: Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database
• ArXiv ID: 1304.2109
• Date: 2013-04-09
• Authors: Researchers from original ArXiv paper

📝 Abstract

Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minutiae points, also the acquired fingerprint image is considered by minimizing its size by generating a corresponding fingerprint template for a large fingerprint database. The results achieved are compared with those obtained through some other methods also shows some improvement in the minutiae detection process in terms of memory and time required.

💡 Deep Analysis

Deep Dive into Automatic Fingerprint Recognition Using Minutiae Matching Technique for the Large Fingerprint Database.

Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minutiae points, also the acquired fingerprint image is considered by minimizing its size by generating a corresponding fingerprint template for a large fingerprint database. The results achieved are compared with those obtained through some other methods also shows some improvement in the minutiae detection process in terms of memory and time required.

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Reference