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Libyan vehicle license plate detection and recognition using RBF

Autor Abulgasem Nureddin, Mohamad Dzulkifli, Hashim Siti Zaiton
en Limba Engleză Paperback – 23 apr 2013
An integrated vehicle plate detection and recognition system generally aims to detect the license plate (LP) and recognize its characters. The process basically includes LP detection, LP extraction, character segmentation, feature extraction and recognition. Due to its wide range of applications such as traffic management, security etc., and this topic is intensively researched especially in the field of image processing. Furthermore, the differences in systems, colours, backgrounds, foregrounds, font and style of the license plates from one country to another add more problems and challenges for new researches. Thus, this book presents an integrated approach for detecting and recognizing Libyan license plates based on Radial Basis Function Neural Network (RBFNN). The method begins with the preprocessing of the image using edge detection and morphological operations. In the detection stage, connected component analysis is used to locate unique objects. In the recognition process, for character segmentation, a simple template is derived to extract and differentiate digits and Arabic words. Finally,in the classification process, RBFNN is used to recognize an individual character.
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Specificații

ISBN-13: 9783659285196
ISBN-10: 3659285196
Pagini: 140
Dimensiuni: 152 x 229 x 8 mm
Greutate: 0.21 kg
Editura: LAP Lambert Academic Publishing AG & Co. KG
Colecția LAP Lambert Academic Publishing

Notă biografică

NUREDDIN A. ABULGASEM, has obtained his MSc from Universiti Teknologi Malaysia (UTM) in 2012. DZULKIFLI MOHAMAD, PhD, is a Professor in the Faculty of Computing at UTM.SITI ZAITON HASHIM, PhD, is an Associate Prof. at the same faculty and university. Both share the same research interest, i.e. Image Processing and Pattern Recognition.