Abstract
Nowadays illegally parked vehicle is major concern faced in the metropolitan cities worldwide. Illegal parking of vehicles is the crucial reason for the massive traffic jam that can lead to air pollution, vehicle crashing, and the significant parking revenue loss for the city administration. An attempt is necessary to implement the system that detects the illegal vehicle parking by image processing & OCR technique. Designing a comprehensive pre-processing module for image enhancement and normalization, such as smoothing, noise reduction, etc. is needed. Pre-processed image segmentation is required for splitting an image into homogeneous entities like lines, numbers & characters. The extraction of some features from the image that should permit discrimination between different classes is part of feature extraction. Finally, classification rules on training sets & post-processing techniques can be used for getting accurate results.
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