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Monitoring for the Evaluation Process On-Line Prototype Based on OpenFace Algorithm

  • Omar Ruiz-VivancoEmail author
  • Alexandra Gonzalez-Eras
  • Jorge Cordero
  • Luis Barba-Guaman
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 895)

Abstract

This project was designed to present a prototype of facial authentication system that allows for the recognition of students who are using an online platform to take final evaluations in our Distance Learning Program, with the purpose of detecting fraud and identity theft. It uses the OpenFace algorithm based on neural networks, taking input from two-dimensional images of the student from time to time during the participation on the exam. We present a system for face recognition using an image database of faces in classroom setting to demonstrate the improvement using this OpenFace algorithm for the preprocessing approach. The preliminary results indicate a high accuracy in the recognition of students, in terms of brightness, size and quality of the image of the face.

Keywords

Computational intelligence Computer vision Face authentication Neural networks OpenFace algorithm 

References

  1. 1.
    Ahonen, T., Hadid, A., Pietikäinen, M.: Face recognition with local binary patterns. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004).  https://doi.org/10.1007/978-3-540-24670-1_36CrossRefGoogle Scholar
  2. 2.
    Alonso, J.: Procedimiento para la obtención de publicidad personalizada a partir de reconocimiento facial (2008)Google Scholar
  3. 3.
    Amos, B., Ludwiczuk, B., Satyanarayanan, M.: OpenFace: a general-purpose face recognition library with mobile applications. CMU School of Computer Science (2016)Google Scholar
  4. 4.
    Andrew, J., Marius, D.: Sistema de imágenes faciales para registro y confirmación automatizada de identidad (2001)Google Scholar
  5. 5.
    Angell, J.: Indexación automatizada asistida de forma manual de imágenes usando reconocimiento facial (2006)Google Scholar
  6. 6.
    Baltrušaitis, T., Robinson, P., Morency, L.-P.: OpenFace: an open source facial behavior analysis toolkit. In: 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1–10 (2016)Google Scholar
  7. 7.
    Brandon, A., Bartosz, L., Mahadev, S.: OpenFace: a general-purpose face recognition library with mobile applications, pp. 1–20. CMU School of Computer Science (2016)Google Scholar
  8. 8.
    Castillo, P.: Sistemas de transmisión de datos en forma remota y digital y localización satelital desde terminales móviles o fijas con cámaras de vigilancia urbana para reconocimiento facial, detector de disparos, captura de personal de seguridad pública y persona (2006)Google Scholar
  9. 9.
    Donald, M.: Un método y/o sistema para realizar reconocimiento y comparación facial en forma automática usando múltiples imágenes faciales bidimensionales descompuestas de una imagen facial tridimensional captada (2003)Google Scholar
  10. 10.
    Galbally, J., Marcel, S., Fierrez, J.: Biometric antispoofing methods: a survey in face recognition. IEEE Access 2, 1530–1552 (2014)CrossRefGoogle Scholar
  11. 11.
    Holovaty, A., Kaplan-Moss, J.: El Libro de Django. l’ınea. Citado En Junio de 2015. Disponible En: Django-Book. Mkaufmann. Com. Ar (2007)Google Scholar
  12. 12.
    Jafri, R., Arabnia, H.R.: A survey of face recognition techniques. JIPS 5(2), 41–68 (2009)Google Scholar
  13. 13.
    Kittler, J.: Personal identity authenticatication process and system (2000)Google Scholar
  14. 14.
    Posada, J., et al.: Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Comput. Graphics Appl. 35(2), 26–40 (2015)CrossRefGoogle Scholar
  15. 15.
    Ramu, T., Arivoli, T.: A framework of secure biometric based online exam authentication: an alternative to traditional exam. Int. J. Sci. Eng. Res. 4(11), 52–60 (2013)Google Scholar
  16. 16.
    McKenna, S.J., Jabri, S., Duric, Z., Rosenfeld, A., Wechsler, H.: Tracking groups of people. Comput. Vis. Image Underst. 80(1), 42–56 (2000)CrossRefGoogle Scholar
  17. 17.
    Zhenming, Y., Liang, Z., Guohua, Z.: A novel web-based online examination system for computer science education. In: FIE, pp. S3F7-S3F10. IEEE (2003)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universidad Técnica Particular de LojaLojaEcuador

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