Have a personal or library account? Click to login
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

References

  1. [1] Dalka P., Bratoszewski P., Czyzewski A., Visual lip contour detection for the purpose of speech recognition, 2014 International Conference on Signals and Electronic System (ICSES), Poland, 2014.10.1109/ICSES.2014.6948716
  2. [2] Górski G., System płatności mobilnych wykorzystujący biometryczną identyfikację użytkowników oraz infrastrukturę klucza publicznego, PRZEGLĄD TELEKOMUNIKACYJNY 8-9/2015 (in Polish).10.15199/59.2015.8-9.117
  3. [3] Hadid A., Heikkila J. Y., Silven O., Pietikainen M., Face and eye detection for person authentication in mobile phones, 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, Vienna, 2007, pp. 101-108.10.1109/ICDSC.2007.4357512
  4. [4] Laganiere R., OpenCV Computer Vision Application Programming Cookbook, Packt Publishing Ltd., 2014.
  5. [5] Lupu C., Gaitan V. G., Lupu V., Security enhancement of internet banking applications by using multimodal biometrics, IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2015, Herl10.1109/SAMI.2015.7061904
  6. any, 2015, pp. 47-52.10.18261/ISSN1504-3045-2015-03-04-16
  7. [6] Marciniak T., Chmielewska A., Weychan R., Parzych M., Dąbrowski A., Influence of low resolution of images on reliability of face detection and recognition, Multimedia Tools and Applications, 74, 12, 4329-4349, 2015.10.1007/s11042-013-1568-8
  8. [7] Mariano V.Y. et al., Performance evaluation of object detection algorithms, 16th International Conference on Pattern Recognition, 2002. Proceedings, vol. 3, pp. 965- 969, 2002.
  9. [8] Ren J., Kehtarnavaz N., Estevez L., Real-time optimization of Viola-Jones face detection for mobile platforms, Circuits and Systems Workshop: System-on-Chip -Design, Applications, Integration, and Software, 2008 IEEE Dallas, Dallas, TX, 2008, pp. 1-4.10.1109/DCAS.2008.4695921
  10. [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 - 23.9.2016.10.1109/SPA.2016.7763610
  11. [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. 1701-1708.10.1109/CVPR.2014.220
  12. [11]Viola P., Jones M., Rapid object detection using a boosted cascade of simple features. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. CVPR 2001. Vol. 1. IEEE, 2001.
  13. [12]Vondrick C., Patterson D., Ramanan D., Efficiently scaling up crowdsourced video annotation, International Journal of Computer Vision (IJCV). June 2012.10.1007/s11263-012-0564-1
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.