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Vehicle License Plate Detection and Recognition Using Symbol Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU93431" target="_blank" >RIV/00216305:26220/11:PU93431 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vehicle License Plate Detection and Recognition Using Symbol Analysis

  • Original language description

    License plate detection and recognition is one of the most important aspects of applying computer techniques towards intelligent transportation systems. Detecting the accurate location of a license plate from a vehicle image is the most crucial step of alicense plate detection system. This paper describes a proposing of a new region-based license plate detection method based on a symbol analysis. Throughout the detection and recognition the original image is filtered, transformed to gray-scale image and thresholded. In the next step the best candidates of regions are selected. The whole system was tested on fifty different cars with various license plates. The indication rate of success recognition is eighty eight percent.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    34th International Conference on Telecommunications and Signal Processing (TSP)

  • ISBN

    978-1-4577-1409-2

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    589-592

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Budapest

  • Event date

    Aug 18, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article