id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2206	Gopal D. Upadhye	Advanced Automated Number Plate Recognizer using Machine Learning Technique	2024	13	.pdf	application/pdf	5562	297	42	The CNN is trained on a dataset of license plate characters and is capable of accurately classifying each character despite variations in font, size, and style. For each segmented character: Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 1s (2025) 429 https://internationalpubls.com Preprocess character (resize, normalize, deskew) Recognize character using trained CNN model Convert recognized characters to text # Color Detection Convert ROI to HSV color space Detect plate color using color segmentation techniques # Post-Processing and Validation Validate recognized characters against database or predefined patterns Apply error correction algorithms # Output Display recognized license plate characters and color Store results in database # Performance Evaluation Calculate accuracy, precision, recall, F1-score # Continuous Improvement Retrain CNN model with additional data if needed Figure 7.	cache/cana-2206.pdf	txt/cana-2206.txt