This paper presents a license plate recognition system of moving vehicles for Egyptian license plates. The proposed system extracts the characters features of a plate from a captured image by a digital video camera. Then it identifies numbers and characters of the plate using a multilayer neural network. The proposed system consists mainly of two processes: the first one is the training process, in which a database is build and the neural networks used for recognition are trained. The second one is the recognition process which consists of vehicle detection from the stream of frames, a plate position estimation, words and numbers segmentation, and plate recognition stages.
SHAWKY, A., HAMDY, A., KESHK, H., & EL_ADAWY, M. (2009). LICENSE PLATE RECOGNITION OF MOVING VEHICLE. JES. Journal of Engineering Sciences, 37(No 6), 1489-1498. doi: 10.21608/jesaun.2009.128533
MLA
A. SHAWKY; A. HAMDY; H. KESHK; M. EL_ADAWY. "LICENSE PLATE RECOGNITION OF MOVING VEHICLE", JES. Journal of Engineering Sciences, 37, No 6, 2009, 1489-1498. doi: 10.21608/jesaun.2009.128533
HARVARD
SHAWKY, A., HAMDY, A., KESHK, H., EL_ADAWY, M. (2009). 'LICENSE PLATE RECOGNITION OF MOVING VEHICLE', JES. Journal of Engineering Sciences, 37(No 6), pp. 1489-1498. doi: 10.21608/jesaun.2009.128533
VANCOUVER
SHAWKY, A., HAMDY, A., KESHK, H., EL_ADAWY, M. LICENSE PLATE RECOGNITION OF MOVING VEHICLE. JES. Journal of Engineering Sciences, 2009; 37(No 6): 1489-1498. doi: 10.21608/jesaun.2009.128533
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