Title :
Efficient Implementation of VEDA for Highlighting Car License Plate Details
Author :
Al-Ghaili, Abbas Mohd ; Mashohor, Syamsiah ; Ismail, Alyani ; Ramli, Abdul Rahman
Author_Institution :
Dept. of Comput. & Commun. Syst., UPM, Serdang, Malaysia
Abstract :
Vertical edge detection is a very important task for image processing-based applications. One of the most common techniques which depends on this task is car license plate detection system. In this work, two contributions are presented and discussed. The first one, a vertical edge detection algorithm (VEDA) is proposed in order to extract vertical edges. The second one, an implementation of VEDA is presented in order to confirm that VEDA is robust for highlighting car license plates efficiently. The results show that VEDA is faster than Sobel and its time complexity is less. So, VEDA can be used with real-time applications. VEDA shows that it could detect vertical license plate details efficiently.
Keywords :
automobiles; edge detection; feature extraction; traffic engineering computing; VEDA; car license plate detection system; image processing; real-time application; time complexity; vertical edge detection algorithm; vertical edge extraction; Application software; Character recognition; Data mining; Detectors; Displays; Feature extraction; Image edge detection; Licenses; Robustness; Systems engineering and theory;
Conference_Titel :
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location :
Kuala Lumpar
Print_ISBN :
978-0-7695-3591-3
DOI :
10.1109/ICFCC.2009.35
