Title :
License plate detection using mathematical morphology
Author :
Ktata, S. ; Benzarti, Faouzi
Author_Institution :
Lab. of Res. in Signal, Image & Inf., Technol. (LR-SITI), ENIT, Tunis, Tunisia
Abstract :
This Automatic license plate recognition (LPR) is an important technique in the intelligent transport system. It has been widely adopted into numerous applications such as unattended parking, security control and stolen vehicle verification. In general, LPR systems consist of two separate modules: Plate detection and characters recognition. Several methods have been proposed for the detection of license plates based on: Discrete Wavelet Transform, Hough transform, neural networks and others. In this paper, we describe a method of license plate detection using mathematical morphology.
Keywords :
Hough transforms; automated highways; character recognition; discrete wavelet transforms; mathematical morphology; neural nets; object detection; Hough transform; LPR; automatic license plate recognition; characters recognition; discrete wavelet transform; intelligent transport system; license plate detection; mathematical morphology; neural networks; Character recognition; Feature extraction; Histograms; Image edge detection; Licenses; Morphology; Vehicles; Edge detection; Morphology; Plate detection; connected components; segmentation;
Conference_Titel :
Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4673-1657-6
DOI :
10.1109/SETIT.2012.6482006