Automatic Number Plate Recognition System
Project description
ANPRS (Automatic Number Plate Recognition System)
This project served as the B.Tech project of four Electrical Engineering students in 2022.
Usage
- Install Package (Requires python 3.x)
pip install anprs - Sample Usage
from anprs.anprs import LPR, OCR lpr = LPR() ocr = OCR() image_path = 'path/to/your/image' lpr_res = lpr.perform_lpr(image_path) license_plate_number = "" if lpr_res: license_plate_number = ocr.get_results() else: print('License plate not detected') print(lpr_res, license_plate_number)
Research Paper
The implementation in this repository corresponds to the following research paper:
Title: Deep Learning-based approach for Indian License Plate Recognition using Optical Character Recognition
Authors:
- Aditya Upadhye
- Atharvraj Patil
- Jayesh Ingale
- Sakshi Jaiswal
- Suhas Kakade
- Abhishek Bhatt
Link: https://ieeexplore.ieee.org/abstract/document/10183391
Build Project
- Setup Virtual Env
# create virtual env
python -m venv local_env
# use this to activate the environment
source local_env/Scripts/activate
# install dependencies
pip install -r requirements.txt
- Create Media Folder in root directory
- Add your image of a vehicle and rename it to photo.jpg
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file anprs-0.0.6.tar.gz.
File metadata
- Download URL: anprs-0.0.6.tar.gz
- Upload date:
- Size: 14.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f537e073378c809f4947ece1dc0f8022496fd28415576cc72594404e0130c340
|
|
| MD5 |
a1db060497efacd041c23df7e1f4e94d
|
|
| BLAKE2b-256 |
cb5b1ead3c500befb1fca9e4bad522ddafa0719957b5a12a07c7b00b6c68b260
|
File details
Details for the file anprs-0.0.6-py3-none-any.whl.
File metadata
- Download URL: anprs-0.0.6-py3-none-any.whl
- Upload date:
- Size: 14.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b524afb5653ac8e4261f3038b0ae6e0665dd9c68fbbddd8504983de4f7a25bea
|
|
| MD5 |
8a1e33a024f154c8932d8f6dfe5e54bd
|
|
| BLAKE2b-256 |
124112cd9e7aa4035bd2eebcdceddd9a9dfb4f41764d770ed1bfcdd89dfefe9e
|