DocumentCode :
1947654
Title :
A fast algorithm for license plate detection
Author :
Rashid, A.E.
Author_Institution :
Comput. Center Deanship, Taif Univ., Taif, Saudi Arabia
fYear :
2013
fDate :
7-8 Feb. 2013
Firstpage :
44
Lastpage :
48
Abstract :
License Plate Recognition (LPR) is one of the most important types of intelligent transport system and is of considerable interest because of its potential applications to many areas such as highway electronic toll collection, traffic monitoring systems and so on. It was developed to identify vehicles by the contents of their license plate. Research is in progress for the recognition of Korean, Chinese, European and other license plates. In this paper, we will describe a fast algorithm for automatic license plate detection system for the Egyptian license plates that achieves a high detection rate without the need for a high quality images from expensive hardware. The system captures images of the vehicles with a digital camera. An algorithm for the extraction of the license plate has been explained and designed using Matlab. We achieved about 96% detection rate for small dataset.
Keywords :
automated highways; cameras; character recognition; feature extraction; image recognition; road vehicles; Chinese license plate recognition; Egyptian license plate recognition; European license plate recognition; Korean license plate recognition; automatic LPR system; automatic license plate detection system; digital camera; fast algorithm; intelligent transport system; license plate extraction; vehicle identification; Databases; Detectors; Image color analysis; Image recognition; Image segmentation; Licenses; Monitoring; license plate detection (LPD); license plate recognition (LPR); license plate segmentation; principal component analysis (PCA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-4861-4
Type :
conf
DOI :
10.1109/ICSIPR.2013.6497956
Filename :
6497956
Link To Document :
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