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

TL;DR

This paper proposes a fingerprint matching algorithm based on minutiae points that improves detection accuracy and efficiency, especially for large databases, by generating compact fingerprint templates.

Contribution

The paper introduces a novel minutiae-based fingerprint matching method that reduces memory and processing time for large-scale fingerprint databases.

Findings

Improved minutiae detection accuracy

Reduced memory usage for fingerprint templates

Faster matching process for large databases

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.