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A Robust Approach for Licence Plate Detection Using Deep Learning

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008  240829e20240619esp|||p |0|||b|eng d
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084  ‎$a‎922.131
24510‎$a‎A Robust Approach for Licence Plate Detection Using Deep Learning‎$c‎Shefali Arora [et al.]
520  ‎$a‎Intelligent 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
650 4‎$0‎MAPA20080552916‎$a‎Vehículos
650 4‎$0‎MAPA20080643874‎$a‎Sistemas de transporte inteligentes
650 4‎$0‎MAPA20080555108‎$a‎Matrículas
650 4‎$0‎MAPA20080557287‎$a‎Automóviles
650 4‎$0‎MAPA20080611200‎$a‎Inteligencia artificial
7001 ‎$0‎MAPA20240020866‎$a‎Arora, Shefali
7730 ‎$w‎MAP20200034445‎$g‎19/06/2024 Volumen 27 Número 73 - junio 2024 , p. 129-141‎$x‎1988-3064‎$t‎Revista Iberoamericana de Inteligencia Artificial‎$d‎ : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018-
856  ‎$u‎https://journal.iberamia.org/index.php/intartif/article/view/1107