Genetic Programming Framework for Fingerprint Matching
Ismail A. Ismail, Nabawia A. ElRamly, Mohammed A. Abd-ElWahid, Passent, M. ElKafrawy, Mohammed M. Nasef
TL;DR
This paper introduces a genetic programming approach to fingerprint matching that aims to derive mathematical formulas defining minutiae points, enhancing the accuracy and robustness of fingerprint identification.
Contribution
It presents a novel technique combining minutiae points with genetic programming to automatically extract mathematical formulas for fingerprint matching.
Findings
Effective extraction of minutiae-based formulas
Improved fingerprint matching accuracy
Potential for automation in fingerprint analysis
Abstract
A fingerprint matching is a very difficult problem. Minutiae based matching is the most popular and widely used technique for fingerprint matching. The minutiae points considered in automatic identification systems are based normally on termination and bifurcation points. In this paper we propose a new technique for fingerprint matching using minutiae points and genetic programming. The goal of this paper is extracting the mathematical formula that defines the minutiae points.
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Taxonomy
TopicsBiometric Identification and Security · User Authentication and Security Systems · Forensic Fingerprint Detection Methods