Optical Character Recognition (OCR) technology analyzes patterns of dark and light pixels in document images to recognize letters, numbers, and punctuation marks.
1. Pre-Processing: The document image is binarized, deskewed, and cleaned of background noise using Otsu thresholding.
2. Feature Extraction: Contours and character curves are compared against glyph vector libraries.
3. Post-Processing: Language models correct common optical typos.