Title :
Vehicle license plate detection and recognition using symbol analysis
Author :
Cika, Petr ; Zukal, Martin ; Sebela, Miroslav
Author_Institution :
Brno Univ. of Technol., Brno, Czech Republic
Abstract :
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 a license 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.
Keywords :
character recognition; image colour analysis; image recognition; image segmentation; traffic engineering computing; transportation; computer technique; gray-scale image; image detection; image recognition; image thresholding; intelligent transportation system; location detection; region-based license plate detection method; symbol analysis; vehicle license plate detection; vehicle license plate recognition; Character recognition; Databases; Image segmentation; Licenses; Optical character recognition software; Transforms; Vehicles; OCR; detection; license plate; recognition;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2011 34th International Conference on
Conference_Location :
Budapest
Print_ISBN :
978-1-4577-1410-8
DOI :
10.1109/TSP.2011.6043661
