The week's pick
Reseach Article
An Automatic Number Plate Recognition System using OpenCV and Tesseract OCR Engine
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 180 - Number 43 |
| Year of Publication: 2018 |
| Authors: Andrew S. Agbemenu, Jepthah Yankey, Ernest O. Addo |
10.5120/ijca2018917150
|
Andrew S. Agbemenu, Jepthah Yankey, Ernest O. Addo . An Automatic Number Plate Recognition System using OpenCV and Tesseract OCR Engine. International Journal of Computer Applications. 180, 43 ( May 2018), 1-5. DOI=10.5120/ijca2018917150
Abstract
Automatic Number Plate Recognition (ANPR) is a fairly well explored problem with many successful solutions. However, these solutions are typically tuned towards a particular environment due to the variations in the features of number plates across the world. Algorithms written for number plate recognition are based on these features and so a universal solution would be difficult to realize as the image analysis techniques that are used to build these algorithms cannot themselves boast hundred percent accuracy. The focus of this paper is a proposed algorithm that is optimized to work with Ghanaian vehicle number plates. The algorithm, written in C++ with the OpenCV library, uses edge detection and Feature Detection techniques combined with mathematical morphology for locating the plate. The Tesseract OCR engine was then used to identify the detected characters on the plate.
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