A Robust Approach for Licence Plate Detection Using Deep Learning

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<dc:creator>Arora, Shefali</dc:creator>
<dc:date>2024-06-19</dc:date>
<dc:description xml:lang="es">Sumario: Intelligent transport systems must be developed due to the rising use of vehicles, particularly cars. In the field of computer vision, the identification of a vehicle's licence plate (LP) has been crucial. Various methods and algorithms have been used for the detection process. It becomes challenging to find similar photos, nevertheless, because the features of these plates change depending on colour, font, and language of characters. The research proposes a powerful deep learning framework based on feature extraction using convolutional neural networks and localization using canny-edge detection</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/186115.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Vehículos</dc:subject>
<dc:subject xml:lang="es">Sistemas de transporte inteligentes</dc:subject>
<dc:subject xml:lang="es">Matrículas</dc:subject>
<dc:subject xml:lang="es">Automóviles</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">A Robust Approach for Licence Plate Detection Using Deep Learning</dc:title>
<dc:relation xml:lang="es">En: Revista Iberoamericana de Inteligencia Artificial. -  : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 19/06/2024 Volumen 27 Número 73 - junio 2024 , p. 129-141</dc:relation>
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