Facial Recognition Based on Machine Vision

Authors

  • Pedro Enrique Ferrin Pacheco Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.
  • Dario Jose Mendoza Chipantasi Departamento de Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.
  • Nancy Velasco E. Departamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Sangolqui, Ecuador.

Keywords:

Robust Face Tracking, Multiple Identification, Face Recognition,

Abstract

This paper proposes a recognition and face tracking based on computer vision techniques using OpenCV libraries by applying multiple phases in cascade. The algorithm allows for a more robust tracking because it combines face and eye detection. Besides, it detects edges and cuts the region of interest (ROI) where the face is located. After that, the algorithm verifies if there is any face in the ROI passing again the face and eye detector. The identification is done through a comparison of the detected face and a stored database of images.

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Published

2017-03-15

How to Cite

Ferrin Pacheco, P. E., Mendoza Chipantasi, D. J., & E., N. V. (2017). Facial Recognition Based on Machine Vision. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-3), 165–168. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1764

Issue

Vol. 9 No. 1-3: Smart City Technology in Communication and Computer Engineering I

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)