Number Plate Recognition System using OCR for Automatic Toll Collection

Author(s):

Prof. Avinash Palve , Kj's Trinity college of engineering and research pune; Mohini Karande, kj's Trinity college of engineering,Pune; Riya Malushte, kj's Trinity college of engineering,Pune; Aditi Dahotre, kj's Trinity college of engineering,Pune

Keywords:

Number Plate Recognition, Optical Character Recognition, Image Acquisition, Segmentation, Image Binarization, and Vehicle number plate, Number Plate Extraction, Character, Pattern Matching

Abstract:

Automation for collection of Toll has become very important in our life due to the unlimited increase of transport likes cars etc. These transportation systems are impossible to be fully managed and monitored by humans example like, traffic monitoring, managing parking toll, tracking stolen cars, red-light violation enforcement, border checkpoints and customs checkpoints. This recognition system recognizes the license number of vehicle. In surveillance, tracking number plate from the vehicle has become an important task. This system is designed for the purpose of the security system. This system is based on the image processing system which helps to perform functions like detection of the number plates of the vehicles using digital camera example Image Acquisition, processing them using OCR (Optical Character Recognition) and using processed data for further processes like Segmentation, Image Binarization, Number Plate Extraction and storing of image. A pattern matching algorithm is also used in the processing. After this completion of process the vehicle is allowed to pass or not depending on the recognition of vehicle. The processing system is implemented and its performance is tested on real image.

Other Details:

Manuscript Id	:	IJSTEV2I10104
Published in	:	Volume : 2, Issue : 10
Publication Date	:	01/05/2016
Page(s)	:	465-471

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