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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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_36
Alonso, J.: Procedimiento para la obtención de publicidad personalizada a partir de reconocimiento facial (2008)
Amos, B., Ludwiczuk, B., Satyanarayanan, M.: OpenFace: a general-purpose face recognition library with mobile applications. CMU School of Computer Science (2016)
Andrew, J., Marius, D.: Sistema de imágenes faciales para registro y confirmación automatizada de identidad (2001)
Angell, J.: Indexación automatizada asistida de forma manual de imágenes usando reconocimiento facial (2006)
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)
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)
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)
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)
Galbally, J., Marcel, S., Fierrez, J.: Biometric antispoofing methods: a survey in face recognition. IEEE Access 2, 1530–1552 (2014)
Holovaty, A., Kaplan-Moss, J.: El Libro de Django. l’ınea. Citado En Junio de 2015. Disponible En: Django-Book. Mkaufmann. Com. Ar (2007)
Jafri, R., Arabnia, H.R.: A survey of face recognition techniques. JIPS 5(2), 41–68 (2009)
Kittler, J.: Personal identity authenticatication process and system (2000)
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)
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)
McKenna, S.J., Jabri, S., Duric, Z., Rosenfeld, A., Wechsler, H.: Tracking groups of people. Comput. Vis. Image Underst. 80(1), 42–56 (2000)
Zhenming, Y., Liang, Z., Guohua, Z.: A novel web-based online examination system for computer science education. In: FIE, pp. S3F7-S3F10. IEEE (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ruiz-Vivanco, O., Gonzalez-Eras, A., Cordero, J., Barba-Guaman, L. (2019). Monitoring for the Evaluation Process On-Line Prototype Based on OpenFace Algorithm. In: Botto-Tobar, M., Pizarro, G., Zúñiga-Prieto, M., D’Armas, M., Zúñiga Sánchez, M. (eds) Technology Trends. CITT 2018. Communications in Computer and Information Science, vol 895. Springer, Cham. https://doi.org/10.1007/978-3-030-05532-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-05532-5_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05531-8
Online ISBN: 978-3-030-05532-5
eBook Packages: Computer ScienceComputer Science (R0)