Evaluation of face detection algorithms for the bank client identity verification

• Autorzy: Szczodrak M. , Czyżewski A.

Identyfikatory

DOI

10.1515/fcds-2017-0006

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

video analysis; face detection; banking

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2017
• Tom: Vol. 42, No. 2
• Strony: 137--148
• Opis fizyczny: Bibliogr. 12 poz., fig., tab.

Twórcy

autor

Szczodrak M.

• Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk

autor

Czyżewski A.

• Multimedia Systems Department, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk

Bibliografia

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• [9] Szczodrak M., Czyżewski A., Face detection algorithms evaluation for the bank client verification; Proc. Signal Processing, Algorithms, Architectures, Arrangements, and Applications, pp. 186-190, Poznań, Polska, 21.9.2016 - 23.9.2016.
• [10]Taigman Y., Yang M., Ranzato M., Wolf L., DeepFace: closing the gap to human-level performance in face verification, 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, 2014, pp. 1701-1708.
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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).