Fingerprint Recognition System Using Machine Learning

Abstract

Fingerprints can be considered a crucial and dominant trait in the field of biometrics because of their high-security prominence, reliability, low cost, and acceptability. As fingerprint identification systems and fingerprint systems deployments are highly in demand, numerous challenges are rising in every phase of the system which includes feature extraction, matching of features, classification of fingerprints, and enhancements of the fingerprint image. Several ML (Machine Learning) techniques introduce several not-so-traditional techniques and solutions to the identification challenges. This research study gives us a keen understanding of the emphasis with the help of fundamental machine learning techniques and their implementation for the sake of compensating for the major complications regarding fingerprint identification.