Abstract:
We presented a license plate edge detection system. We detected license plate edges using image processing and computer vision. We employed picture preprocessing for accuracy. This project detects license plate edges using image enhancement, recognition, restoration, and compression.
Before picture preprocessing, RGB image is transformed to gray scale and scaled to maintain aspect ratio. Morphological processing improves text detection. Images are doubled. Image intensity is boosted using edge detection. Item gaps are filled. Image may have several horizontal and vertical lines after edge detection.
These lines should be deleted from image to extract text alone. These image preparation processes leave few minor undesirable items. Unwanted items are deleted. Edge detection is applied to processed images after preprocessing.
We used one of the numerous inbuilt edge detection methods to detect the license plate edge. Human image perception relies largely on image edges. Edge detection data is huge, making picture processing speed problematic. Finally, name plate edge is shown.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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