Sheikh Abdullah, Siti Norul Huda and Khalid, Marzuki and Yusof, Rubiyah and Omar, Khairuddin (2007) Comparison of feature extractors in license plate recognition. In: First Asia International Conference on Modelling & Simulation (AMS'07), 2007, 27th - 30th March 2007, Prince of Songkla University, Phuket, Thailand.
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Official URL: http://doi.ieeecomputersociety.org/10.1109/AMS.200...
Vehicle license plate recognition has been intensively studied in many countries. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country. In this paper, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates using blob labeling and clustering for segmentation, seven popular and one proposed edge detectors for feature extraction and neural networks for classification. There were eight experiments conducted using eight different edge detectors’: Kirsch, Sobel, Laplacian, Wallis, Prewitt, Frei Chen and a proposed edge detector. The result had shown kirsch edge detectors is the best technique for feature extractor while the proposed achieved better results compared to Prewitt, Frei Chen and Wallis.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||vehicle license plate, license plate recognition|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
T Technology > TL Motor vehicles. Aeronautics. Astronautics
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||30 Nov 2011 03:46|
|Last Modified:||08 Feb 2017 00:42|
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