A Robust Approach for Licence Plate Detection Using Deep Learning
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20240013295 | ||
| 003 | MAP | ||
| 005 | 20240829122031.0 | ||
| 008 | 240829e20240619esp|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.131 | ||
| 245 | 1 | 0 | $aA Robust Approach for Licence Plate Detection Using Deep Learning$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 | |
| 700 | 1 | $0MAPA20240020866$aArora, Shefali | |
| 773 | 0 | $wMAP20200034445$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 |