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Face detection algorithms evaluation for the bank client verification

Abstract

Results of investigation of face detection algorithms in the video sequences are presented in the paper. The recordings were made with a miniature industrial USB camera in real conditions met in three bank operating rooms. 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 as much as possible user interaction with the application. Applied algorithms for face detection were described and results of the efficiency of face detection in the real bank environment conditions were presented and discussed.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
SPA 2016, Signal Processing, Algorithms, Architectures, Arrangements, and Applications, Conference Proceeding strony 186 - 190
Language:
English
Publication year:
2016
Bibliographic description:
Szczodrak M., Czyżewski A..: Face detection algorithms evaluation for the bank client verification, W: SPA 2016, Signal Processing, Algorithms, Architectures, Arrangements, and Applications, Conference Proceeding, 2016, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/spa.2016.7763610
Verified by:
Gdańsk University of Technology

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