TY - JOUR
AU1 - Tamrakar, Aayushi
AU2 - Gupta, Neetesh
AU3 - 
AB - IJO-SCIENCE ISSN NO: 2455-0108 VOLUME 5, ISSUE 11, NOVEMBER 2019 DOI: https://doi.org/10.24113/ijoscience.v5i11.234 A Study on Machine Learning Approach for Fingerprint Recognition System Aayushi Tamrakar Neetesh Gupta M.Tech. Scholar Professor Department of CSE Department of CSE Technocrats Institute of Technology Technocrats Institute of Technology Bhopal, India Bhopal, India tamrakarayushi@gmail.com gupta_neetesh81@yahoo.com Abstract—A biometric system is an evolving technology that is used in various fields like forensics, secured area and security system. Authentication system like fingerprint recognition is most commonly used biometric authentication system. Fingerprint method of identification is the oldest and widely used method of authentication used in biometrics. There are several reasons like displacement of finger during scanning, environmental conditions, behavior of user, etc., which causes the reduction in acceptance rate during fingerprint recognition. The result and accuracy of fingerprint recognition depends on the presence of valid Figure 1: Fingerprint Scanner minutiae. Fingerprint Recognition system designed uses On the basis of this the automatic fingerprint various techniques in order to reduce the False Acceptance Rate (FAR) and False Rejection Rate (FRR) recognition system for authentication and and to enhance the performance of the system. This identification i.e. Basically there are two types of paper reviews the fingerprint classification including fingerprint 
TI - A Study on Machine Learning Approach for Fingerprint Recognition System
JF - SMART MOVES JOURNAL IJOSCIENCE
DO - 10.24113/ijoscience.v5i11.234
DA - 2019-11-19
UR - https://www.deepdyve.com/lp/unpaywall/a-study-on-machine-learning-approach-for-fingerprint-recognition-mgk2yvn5cN
DP - DeepDyve
ER -