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An Automatic Number Plate Recognition System using OpenCV and Tesseract OCR Engine
| Content Provider | Semantic Scholar |
|---|---|
| Author | Agbemenu, Andrew S. Yankey, Jepthah Addo, Ernest O. |
| Copyright Year | 2018 |
| 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. |
| Starting Page | 1 |
| Ending Page | 5 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| DOI | 10.5120/ijca2018917150 |
| Volume Number | 180 |
| Alternate Webpage(s) | https://www.ijcaonline.org/archives/volume180/number43/29416-29416-2018917150?format=pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
