ecms_neu_mini.png

Digital Library

of the European Council for Modelling and Simulation

 

Title:

Biometric Identification Of Persons

Authors:

Milan Adamek, Petr Neumann, Dora Lapkova, Martin Pospisilik, Miroslav Matysek

Published in:

 

 

 

(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics

European Council for Modeling and Simulation. doi:10.7148/2017

 

 

ISBN: 978-0-9932440-4-9/

ISBN: 978-0-9932440-5-6 (CD)

 

 

31st European Conference on Modelling and Simulation,

Budapest, Hungary, May 23rd – May 26th, 2017

 

Citation format:

Milan Adamek, Petr Neumann, Dora Lapkova, Martin Pospisilik, Miroslav Matysek (2017). Biometric Identification Of Persons, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0460

 

DOI:

https://doi.org/10.7148/2017-0460

Abstract:

Algorithms - used for the identification and verification of individuals through fingerprint recognition technology have long been extensively used in Forensic Science and in the private sector. This work is concerned with the verification of the reliability of biometric systems that use fingerprints for their activities. Further, the eFinger programme is used to study similarities between men, women´s and family members´ fingerprints.

 

Full text: