Open AccessOrganization, Extraction, Classification and Prediction of Age in Facial Images using Convolutional Neuronal Network
Author(s) -
Brian Meneses-Claudio,
Luis Nuñez Tapia,
Witman Alvarado Díaz
Publication year - 2022
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae0322_07
Subject(s) - convolutional neural network , categorization , computer science , face (sociological concept) , artificial intelligence , facial recognition system , perspective (graphical) , identification (biology) , pattern recognition (psychology) , feature extraction , deep learning , artificial neural network , machine learning , social science , botany , sociology , biology
The development of technology and the popularization of AI (artificial intelligence), face recognition has become fundamental by various applications, both in military and economic appearance because it is gradually being introduced into the lives of individuals, exemplifying, in the use of face recognition for unlocking mobile phones. Starting in the 1990s, they began to learn age identification by means of a face photo, it should be said that the recognition of the old face is quite challenging within the environment of the perspective by PC. This article is made in order to be used in marketing, as it could be given differentiated products according to the age of consumers; for this purpose we have used public databases to classify by age the images of faces of both men and women, thanks to a model of Convolutional Neural Network (CNN), with which we obtained an efficiency in the categorization of around 97.86%, we also performed prediction tests in which the silver model obtained an approximate success rate of 87.64%. Keywords— Convolutional Neural Network, age classification, mathematical model, artificial intelligence, CNN.