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Number Plate Character Identification Using Image Processing and TesseractOCR

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 6)

Publication Date:

Authors : ; ; ; ;

Page : 32-36

Keywords : Automatic Number Plate Recognition; Gaussian Blur; Image Processing; Window Filtering; Edge Finding; Optical Character Recognition;

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Abstract

The Number plate identifier is one of the most widespread and much needed system. The aim of such systems is to successfully identify the Characters in any number plate. An image of a vehicle is captured and processed using various algorithms. The number plate area is localized using a novel,-feature-based number plate localization‖ method which consists of many algorithms. But our study mainly focusing on the two fast algorithms i.e., Edge Finding Method and Window Filtering Method with the help of Opencv and Tesseract OCR engine .The proposed system achieves an approximate 78.12% accuracy.

Last modified: 2020-06-11 22:53:30