Ethnicity Recognition System using Back Propagation Algorithm of an MLP
Roger Achkar, Gaby Abou Haidar, Mireille El-Assal, Danny Habchy, Diala al Ashi, Tarek Maylaa · 2019
This paper includes a novel technique for “Ethnicity Detection System” via extracting geometric features from pictures, such as the nose width, lips width, forehead width and color. These aforementioned features can be easily extracted by means of the Viola Jones algorithm, followed by the execution of the artificial neural networking. This process is achieved by following three steps: face recognition, face segmentation and ethnicity classification. These steps can provide further input for trained neural network. Thus, the output of the neural network helps in determining the race of the individual. The results are obtained via a database of many people of different ethnicities.