Building Face Detection with Face Divine Proportions

Authors

  • Mohamed Oualla Faculty of Sciences and Technology (FST), Moulay Ismail University, Errachidia, Morocco
  • Khalid Ounachad Faculty of Sciences (FS), Ibn Toufail university, Kenitra, Morocco
  • Abdelalim Sadiq Faculty of Sciences (FS), Ibn Toufail university, Kenitra, Morocco

DOI:

https://doi.org/10.3991/ijoe.v17i04.19149

Keywords:

Face detection, Haar-like features, Adaboost, Facial proportions, Golden ratio

Abstract


In this paper, we proposed an algorithm for detecting multiple human faces in an image based on haar-like features to represent the invariant characteristics of a face. The choice of relevant and more representative features is based on the divine proportions of a face. This technique, widely used in the world of beauty, especially in aesthetic medicine, allows the face to be divided into a set of specific regions according to known mathematical measures. Then we used the Adaboost algorithm for the learning phase. All of our work is based on the Viola and Jones algorithm, in particular their innovative technique called Integral Image, which calculates the value of a Haar-Like feature extracted from a face image. In the rest of this article, we will show that our approach is promising and can achieve high detection rates of up to 99%.

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Published

2021-04-06

How to Cite

Oualla, M., Ounachad, K., & Sadiq, A. (2021). Building Face Detection with Face Divine Proportions. International Journal of Online and Biomedical Engineering (iJOE), 17(04), pp. 63–80. https://doi.org/10.3991/ijoe.v17i04.19149

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Section

Papers