Title: Facial beauty analysis by age and gender

Authors: Manal El Rhazi; Arsalane Zarghili; Aicha Majda; Anissa Bouzalmat; Ayat Allah Oufkir

Addresses: Intelligent Systems and Applications Laboratory Sidi Mohamed Ben Abdellah University, Fez 2202, Morocco ' Intelligent Systems and Applications Laboratory Sidi Mohamed Ben Abdellah University, Fez 2202, Morocco ' Intelligent Systems and Applications Laboratory Sidi Mohamed Ben Abdellah University, Fez 2202, Morocco ' Intelligent Systems and Applications Laboratory Sidi Mohamed Ben Abdellah University, Fez 2202, Morocco ' Medical Center of Biomedical and Translational Research, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco

Abstract: The face is the first source of information that inspires the attractiveness of a human being, for this reason; several studies were conducted in the aesthetic medicine or in the image processing to analyse the aesthetic quality of an adult human face. This paper proposes an automatic procedure for the analysis of facial beauty. First, we detect the face zone on an image and its features areas, then we present our novel method to extract features corners, and finally we analyse the facial aesthetic quality. Experimental results show that our method can extract the features corners accurately for the majority of faces presented in the European Conference on Visual Perception in Utrecht (ECVP) and Faculdade de Engenharia Industrial (FEI) images databases, and that there exist a difference in the facial beauty analysis by gender and age, due to anatomic differences in specific facial areas between the categories.

Keywords: facial features; plastic surgery; facial attractiveness; facial beauty analysis; image processing; image analysis.

DOI: 10.1504/IJISTA.2019.097757

International Journal of Intelligent Systems Technologies and Applications, 2019 Vol.18 No.1/2, pp.179 - 203

Received: 23 Nov 2016
Accepted: 27 Aug 2017
Published online: 07 Feb 2019 *

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