Due to rapid development of technology and increasing use of vehicles, license plate recognition system has numerous applications. In present world, crimes are increasing day by day with a rapid speed and criminals use vehicles in crimes. When we go at a crowded place, we see that people does not follow traffic rules during driving due to which many road accidents occur. So we have designed a license plate recognition system to overcome these problems. Identifying the license plate of a vehicle involved in crimes can help to nab the criminals. In recent years, template matching was used for license plate recognition but it is sensitive to noise. So, neural networks are used for recognition. In this paper, Haar wavelet and back propagation neural network are used for license plate detection and feature extraction of license plate characters. The proposed system has been implemented in MATLAB.
CITATION STYLE
Laxmi, V., & Rohil, H. (2014). License Plate Recognition System using Back Propagation Neural Network. International Journal of Computer Applications, 99(8), 29–37. https://doi.org/10.5120/17395-7945
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