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http://hdl.handle.net/10609/52222
Title: | Diseño de un sistema de reconocimiento automático de matrículas de vehículos mediante una red neuronal convolucional |
Author: | Núñez Sánchez-Agustino, Francisco José |
Director: | Kanaan-Izquierdo, Samir |
Tutor: | Ventura, Carles |
Others: | Universitat Oberta de Catalunya |
Abstract: | Study about the practical application of deep learning techniques (Deep Learning) in the development of an automatic vehicle license plate recognition. These systems, commonly called ALPR (Automatic License Plate Recognition), are able to recognize the content of vehicle license plates from images captured by a camera. The system proposed in this work is based on an image classifier developed by supervised learning techniques with artificial neural networks convolutional, one of the architectures of deep learning most popular, specifically designed to solve computer vision, such as pattern recognition and image classification. |
Keywords: | deep learning convolutionals neural networks images |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 1-Jun-2016 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
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fnunezsTFM0616memoria.pdf | Memoria del TFM | 1,99 MB | Adobe PDF | View/Open |
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