Indian Licence Plate Recognition System using Deep learning and Random Forest

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Abstract Transportation system is the backbone of developing country. Intelligent transportation is need of today to provide better conditions to the public. Automatic licence plate system is one of the important elements of intelligent transportation system. In this paper, a novel technique for Indian license plate recognition based on deep learning and random forest is proposed. It has been evident that features are extracted from region with different input characters segmented in images of license plate so that their analysis has been carried out. Certain Features has been parametric and subjected to various characterization of license plate therefore heuristic and non-heuristic approaches are being implemented; however in this paper; deep learning random forest technique has been categorized and implemented for recognition of plate with their feature extraction mechanism. Comparative Analysis has been performed with existing techniques and results obtained from analysis that rate at which recognition of characters on basis of different features are high and more dominant relative to deep learning techniques. The proposed method performs better in evaluation of parameters subjected to automated system considering neural network with convoluted approach.

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