Reduction of False Rejection in an Authentication System by Fingerprint with Deep Neural Networks
Open Access
- 1 January 2020
- journal article
- research article
- Published by Scientific Research Publishing, Inc. in Journal of Software Engineering and Applications
- Vol. 13 (01), 1-13
- https://doi.org/10.4236/jsea.2020.131001
Abstract
Faultless authentication of individuals by fingerprints results in high false rejections rate for rigorously built systems. Indeed, the authors prefer that the system erroneously reject a pattern when it does not meet a number of predetermined correspondence criteria. In this work, after discussing existing techniques, we propose a new algorithm to reduce the false rejection rate during the authentication-using fingerprint. This algorithm extracts the minutiae of the fingerprint with their relative orientations and classifies them according to the different classes already established; then, make the correspondence between two templates by simple probabilities calculations from a deep neural network. The merging of these operations provides very promising results both on the NIST4 international data reference and on the SOCFing database.Keywords
This publication has 15 references indexed in Scilit:
- Fingerprint Recognition with Artificial Neural Networks: Application to E-LearningJournal of Intelligent Learning Systems and Applications, 2016
- Deep learningNature, 2015
- Deep learning for steganalysis via convolutional neural networksPublished by SPIE-Intl Soc Optical Eng ,2015
- Image Compression with Artificial Neural NetworksAdvances in Intelligent Systems and Computing, 2013
- Handwritten Character Recognition with Artificial Neural NetworksPublished by Springer Science and Business Media LLC ,2012
- On the Expressive Power of Deep ArchitecturesLecture Notes in Computer Science, 2011
- Synthetic fingerprint-database generationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Non-existence of the modified first integral by symplectic integration methodsPhysics Letters A, 2001
- Neural Networks for Fingerprint RecognitionNeural Computation, 1993
- Probabilistic neural networksNeural Networks, 1990