Open Access
Model for the identification of license plates in Mexico City using machine learning algorithms
Author(s) -
Gustavo Martínez-Prado,
Miguel Hernandez-Hernandez,
Francisco Javier Ponce Martínez,
Arturo Pérez-Cebreros
Publication year - 2021
Publication title -
tayacaja
Language(s) - English
Resource type - Journals
ISSN - 2617-9156
DOI - 10.46908/tayacaja.v4i2.184
Subject(s) - license , flourishing , artificial intelligence , identification (biology) , computer science , machine vision , process (computing) , machine learning , feature (linguistics) , image processing , algorithm , computer vision , image (mathematics) , operating system , psychology , linguistics , philosophy , botany , psychotherapist , biology
Computer vision is one of the fields of Artificial Intelligence that is flourishing because it focuses on the development and improvement of techniques that allow computers to identify, process and classify images, in a way that resembles human vision. This feature makes them an excellent tool for vehicle control systems. For this reason, we developed a system for the recognition of Mexico City license plates using artificial vision techniques, image processing and automatic learning, in order to monitor and speed up response times, when a stolen vehicle is found.