Open AccessApplication of Machine Learning in Fingerprint Image Enhancement and Recognition: A Review
Author(s) -
Kumud K. Singh,
Gireesh Kumar Dixit
Publication year - 2021
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v7i4.386
Subject(s) - biometrics , fingerprint (computing) , computer science , fingerprint recognition , artificial intelligence , feature (linguistics) , signature recognition , pattern recognition (psychology) , word error rate , machine learning , computer vision , philosophy , linguistics
Biometric characteristics helps to recognize an individual among others. Each individual has a unique biometric feature. So, an automated system is designed to recognize an individual. In today’s growing AI development, biometric recognition is applied in many security systems. One of oldest and widely used authentic biometric methodology is fingerprint recognition. Many fingerprint recognition algorithms are designed and developed in order to reduce error rate and to improve accuracy. In this paper, a comprehensive review is presented on various techniques used for fingerprint recognition system along with their performance and their limitations. The purpose of this paper is to review various recent work on the fingerprint recognition system, to explain step by step the steps for recognizing fingerprints, and to provide summaries of the fingerprint databases with functionality