Publication detail

Vehicle License Plate Detection and Recognition Using Symbol Analysis

ČÍKA, P. ZUKAL, M. ŠEBELA, M.

Original Title

Vehicle License Plate Detection and Recognition Using Symbol Analysis

English Title

Vehicle License Plate Detection and Recognition Using Symbol Analysis

Type

conference paper

Language

en

Original 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.

English 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

detection, license plate, OCR, recognition

RIV year

2011

Released

18.08.2011

ISBN

978-1-4577-1409-2

Book

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

Pages from

589

Pages to

592

Pages count

4

BibTex


@inproceedings{BUT73118,
  author="Petr {Číka} and Martin {Zukal} and Miroslav {Šebela}",
  title="Vehicle License Plate Detection and Recognition Using Symbol Analysis",
  annote="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.",
  booktitle="34th International Conference on Telecommunications and Signal Processing (TSP)",
  chapter="73118",
  howpublished="electronic, physical medium",
  year="2011",
  month="august",
  pages="589--592",
  type="conference paper"
}