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Evaluation of Face Detection Algorithms for the Bank Client Identity Verification Cover

Evaluation of Face Detection Algorithms for the Bank Client Identity Verification

Open Access
|Jun 2017

Abstract

Results of investigation of face detection algorithms efficiency in the banking client visual verification system are presented. The video recordings were made in real conditions met in three bank operating outlets employing a miniature industrial USB camera. The aim of the experiments was to check the practical usability of the face detection method in the biometric bank client verification system. The main assumption was to provide a simplified as much as possible user interaction with the application. Applied algorithms for face detection are described and achieved results of face detection in the real bank environment conditions are presented. Practical limitations of the application based on encountered problems are discussed.

DOI: https://doi.org/10.1515/fcds-2017-0006 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
Language: English
Page range: 137 - 148
Submitted on: Oct 19, 2016
Accepted on: May 16, 2017
Published on: Jun 16, 2017
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Maciej Szczodrak, Andrzej Czyżewski, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.