• Login
    View Item 
    •   Academica-e
    • Trabajos Fin de Estudios - Ikasketen Amaierako Lanak
    • Proyectos Fin de Carrera - Ikasketen Amaierako Proiektuak
    • PFC. Acceso abierto (desde 2010) – IAP. Sarbide irekia (2010etik aurrera)
    • View Item
    •   Academica-e
    • Trabajos Fin de Estudios - Ikasketen Amaierako Lanak
    • Proyectos Fin de Carrera - Ikasketen Amaierako Proiektuak
    • PFC. Acceso abierto (desde 2010) – IAP. Sarbide irekia (2010etik aurrera)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Automatic number plate recognition

    Thumbnail
    View/Open
    578015.pdf (2.905Mb)
    578015 anejo.zip (478.2Mb)
    Date
    2013
    Author
    Jiménez Zozaya, Lourdes 
    Advisor
    Malanda Trigueros, Armando 
    Lazarova, Milena 
    Version
    Acceso abierto / Sarbide irekia
    Type
    Proyecto Fin de Carrera / Ikasketen Amaierako Proiektua
    Impact
     
     nodoi-noplumx
     
     
     
     
    Show full item record
    Abstract
    This final project develops an algorithm for automatic number plate recognition (ANPR). ANPR has gained much interest during the last decade along with the improvement of digital cameras and the gain in computational capacity. The text is divided in four chapters. The first, introduces the origins of digital image processing, also a little resume about the following algorithms that are need ... [++]
    This final project develops an algorithm for automatic number plate recognition (ANPR). ANPR has gained much interest during the last decade along with the improvement of digital cameras and the gain in computational capacity. The text is divided in four chapters. The first, introduces the origins of digital image processing, also a little resume about the following algorithms that are needed for develop the system ANPR. The second chapter presents the objectives to be achieved in this project, as well as, the program used for his development. The following chapter explains the different algorithms that compound the system, which is built in five sections; the first is the initial detection of a possible number plate using edge and intensity detection to extract information from the image. The second and the third step, thresholding and normalization, are necessary to use the images in the following stages; the text of the plate is found and normalized. With the segmentation, each character of the plate is isolated for subsequent recognition. The last step reads the characters by correlation template matching, which is a simple but robust way of recognizing structured text with a small set of characters. It is evaluated the system’s speed and his error rate. Finally, the conclusions and future works are shown in the chapter four. The databases used consist of images under normal conditions and only Bulgarian’s numbers plate. [--]
    Subject
    Reconocimiento automático de matrículas
    Departament
    Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica / Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa eta Elektronikoa Saila
     
    Degree
    Ingeniería de Telecomunicación / Telekomunikazio Ingeniaritza
     
    URI
    https://hdl.handle.net/2454/7126
    Appears in Collections
    • PFC. Acceso abierto (desde 2010) – IAP. Sarbide irekia (2010etik aurrera) [1473]
    • Proyectos Fin de Carrera ETSIIT - TIIGMET Ikasketen Amaierako Proiektuak [2318]
    Items in Academica-e are protected by copyright with all rights reserved, unless otherwise noted.

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback
     

     

    Browse

    All of Academica-eCommunities & CollectionsAuthorsAuthors By Issue DateTitlesSubjectsBy DegreeThis CollectionAuthorsAuthors By Issue DateTitlesSubjectsBy Degree

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

     © Universidad Pública de Navarra - Nafarroako Unibertsitate Publikoa
         Repositorio basado en DSpace

    Contact Us | Send Feedback