Model for the identification of license plates in Mexico City using machine learning algorithms

• Autores: Martínez-Prado, Gustavo, Pescador-Hernandez, Miguel, García-Ponce, Javier, Pérez-Cebreros, Arturo
• Formato: artículo
• Fecha de Publicación: 2021
• Institución: Universidad Nacional Autónoma de Tayacaja Daniel Hernández Morillo
• Repositorio: Tayacaja
• Lenguaje: español
• OAI Identifier: oai:ojs.unat.edu.pe:article/184
• Enlace del recurso: https://revistas.unat.edu.pe/index.php/RevTaya/article/view/184
• Nivel de acceso: acceso abierto
• Materia: visión artificial; aprendizaje automático; aprendizaje profundo; matrículas; detección automática; computer vision; machine learning; deep learning; license plates; automatic detection

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.