Project Story
OCR System: From Internship Build to Independent Extension
The OCR system began during internship work and later became a separate practice project to deepen image processing fundamentals.
Pipeline
The flow starts with image normalization and preprocessing, then character segmentation and extraction, and finally text output formatting. This approach improved consistency compared with direct raw-image extraction.
Processing stages
Input image → Preprocess/denoise → Segment regions → Extract characters → Return plain text
What Changed After Internship
The standalone version focused on code structure, repeatable test inputs, and better handling for low-quality text regions. The goal was to understand trade-offs, not just produce demo output.