License plate(number plate) recognition using neural network
License plate recognition from photographs of vehicle using a neural network based classifier. Different networks were trained on segmented characters and the LVQ model was found to be most effective in classifying unseen data. The focus is on identification of character regions and classification of segmented characters; the process of segmenting plate region isn't very sophisticated. This may create problems. Best used with orthogonal photographs of license plates with the plate . No attempt is made at skew correction or rotation.
Covered under BSD license(should be included in any redistribution)
Cite As
Shreyas Vinayakumar (2024). License plate(number plate) recognition using neural network (https://www.mathworks.com/matlabcentral/fileexchange/49829-license-plate-number-plate-recognition-using-neural-network), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Text Detection and Recognition >
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