License Plate Detection Using Point of Interest Detectors and Descriptors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120617" target="_blank" >RIV/00216305:26220/16:PU120617 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7760926" target="_blank" >http://ieeexplore.ieee.org/document/7760926</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2016.7760926" target="_blank" >10.1109/TSP.2016.7760926</a>

Jazyk výsledku

angličtina

Název v původním jazyce

License Plate Detection Using Point of Interest Detectors and Descriptors

Popis výsledku v původním jazyce

A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected detectors and descriptors listed here: Harris, Shi&Tomasi, MSER, FAST, SURF and BRISK. These algorithms have been implemented, tested and compared each other from a point of view of their stability and repeatability. Our experiments were performed on a license plate localization task and carried out over an extensive gallery of real vehicle images.

Název v anglickém jazyce

License Plate Detection Using Point of Interest Detectors and Descriptors

Popis výsledku anglicky

A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected detectors and descriptors listed here: Harris, Shi&Tomasi, MSER, FAST, SURF and BRISK. These algorithms have been implemented, tested and compared each other from a point of view of their stability and repeatability. Our experiments were performed on a license plate localization task and carried out over an extensive gallery of real vehicle images.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 39th International Conference on Telecommunications and Signal Processing

ISBN

978-1-5090-1288-6

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

484-488

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Vienna

Místo konání akce

Vídeň

Datum konání akce

27. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390164000106