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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.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1515/fcds-2017-0006
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Foundations of Computing and Decision Sciences
no. 42,
edition 2,
pages 137 - 148,
ISSN: 0867-6356 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Szczodrak M., Czyżewski A.: Evaluation of Face Detection Algorithms for the Bank Client Identity Verification// Foundations of Computing and Decision Sciences. -Vol. 42., iss. 2 (2017), s.137-148
- DOI:
- Digital Object Identifier (open in new tab) 10.1515/fcds-2017-0006
- Verified by:
- Gdańsk University of Technology
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