Projection Profile Based Number Plate Localization and Recognition

2016 
This paper proposes algorithms to localize vehicle number plates from natural background images, to segment the characters from the localized number plates and to recognize the segmented characters. The reported system is tested on a dataset of 560 sample images captured with different background under various illuminations. The performance accuracy of the proposed system has been calculated at each stage, which is 97.1%, 95.4% and 95.72% for localisation & extraction, character segmentation and character recognition respectively. The proposed method is also capable of localising and recognising multiple number plates in images.
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