{"id":18000205,"url":"https://github.com/ibz-04/number-plate-recognition","last_synced_at":"2026-05-09T15:16:19.258Z","repository":{"id":258611449,"uuid":"874125818","full_name":"iBz-04/Number-plate-recognition","owner":"iBz-04","description":"Vehicle number plate recognition using computer vision and image 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License Plate Detection and Recognition System\n\n- This project demonstrates how to detect and recognize license plates from an image using Python Image Processing.\n- It is a practical implementation of computer vision and OCR techniques, suitable for applications such as vehicle monitoring systems or parking management.\n- it only works for images\n\n## IMAGES \n\n### Processed Image\n\u003cimg src=\"https://res.cloudinary.com/diekemzs9/image/upload/v1729189076/b_w_lf6bcd.png\" alt=\"Original Image\" width=\"800\"/\u003e\n\n### Number plate extraction\n\u003cimg src=\"https://res.cloudinary.com/diekemzs9/image/upload/v1729189095/plate_gqyfkm.png\" alt=\"Edge Detection\" width=\"800\"/\u003e\n\n### Final output\n\u003cimg src=\"https://res.cloudinary.com/diekemzs9/image/upload/v1729189084/final_uoxcot.png\" alt=\"Detected Plate\" width=\"800\"/\u003e\n\n\n### Image Processing Workflow\n\n1. **Reading the Image**: The input image is read using OpenCV, and then it's displayed using `matplotlib` for visualization.\n2. **Grayscale Conversion**: The image is converted to grayscale to simplify processing, focusing on intensity rather than color.\n3. **Noise Reduction**: A bilateral filter is applied to reduce noise while preserving the edges, preparing the image for edge detection.\n4. **Edge Detection**: The Canny edge detection algorithm is used to identify edges, highlighting the boundaries of objects like the license plate.\n5. **Finding Contours**: The system identifies contours (closed shapes) in the image, filtering out the most relevant contours that are likely to be the license plate.\n6. **Approximating License Plate**: A polygon approximation is used to detect a quadrilateral contour, assuming the license plate is rectangular.\n7. **Masking and Cropping**: The license plate area is isolated from the image, and the region is cropped for OCR.\n8. **Text Recognition**: EasyOCR is used to extract text from the cropped license plate image.\n\n\n\n## Installation\n\nInstalling dependencies:\n\n```bash\npip install easyocr\npip install imutils\npip install opencv-python\npip install matplotlib\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibz-04%2Fnumber-plate-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fibz-04%2Fnumber-plate-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fibz-04%2Fnumber-plate-recognition/lists"}