Blog
3 days ago
Training Tesseract for Low-Resource Languages
This article explores the creation of an OCR system for Kurdish, a low-resource language with vast unprocessed historical archives. Using Tesseract, researchers built and trained a model on digitized pre-1950 texts from the Zheen Center, achieving notable accuracy rates. The study highlights both the technical challenges of dataset preparation and the cultural significance of preserving Kurdish heritage through digital accessibility.
Source: HackerNoon →