Clasificación de género utilizando medidas antropométricas, análisis de texturas y la arquitectura ANFIS

The automation of the gender classification process is justified by several applications that play a very important role in the interaction between humans and the computer such as: search engines, demographic data collection and as part of biometric and psychological frameworks. This paper designs a method of gender classification using facial images and the ANFIS architecture as a classifier, which offers us the advantages of diffuse logic and neural networks. The proposed methodology will take us through several phases, in which different methods will be used for the extraction of facial characteristics, such as eyes, forehead, nose, mouth, chin, etc., as well as the LBP algorithm that help in the extraction of textures and anthropometric analysis. Tests were