Asikpalysik / Automatic-License-Plate-Detection

In this project we utilize OpenCV t in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. As well this project will presents a robust and efficient ALPR system based on the state-of-the-art YOLO object detector. We build Web App with a Python program that automatically recognizes the License Number Plate by the end of this journi. The results have shown that the trained neural network is able to perform with high accuracy of nearly 90-95 percent in recognizing license plates in low resolution images using this system.

Date Created 2022-06-15 (about a year ago)
Commits 21 (last one about a year ago)
Stargazers 60 (0 this week)
Watchers 3 (0 this week)
Forks 21
License unknown
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RepositoryStats indexes 523,840 repositories, of these Asikpalysik/Automatic-License-Plate-Detection is ranked #376,964 (28th percentile) for total stargazers, and #394,351 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,237/14,471.

Asikpalysik/Automatic-License-Plate-Detection is also tagged with popular topics, for these it's ranked: ocr (#405/526),  yolo (#232/311)

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updated: 2024-05-27 @ 07:00am, id: 503710212 / R_kgDOHgYCBA