Handwritten Notes recognition

Handwritten notes recognition involves converting handwritten text into digital text using techniques like optical character recognition (OCR). Here are some key points about the process:

1. Image Acquisition: Capture clear images of handwritten notes using a camera or scanner.
2. Preprocessing: Enhance image quality by applying filters to reduce noise, adjust contrast, and normalize brightness.
3. Segmentation: Divide the image into smaller sections, identifying lines, words, and characters for easier recognition.
4. Character Recognition: Use machine learning algorithms, often trained on large datasets of handwritten text, to identify individual characters.
5. Post-processing: Correct errors using language models to improve accuracy and readability, often considering context.
6. Output: Convert recognized text into a digital format, such as plain text or formatted documents.