Developing systems to digitize and recognize Kurdish text from printed documents, handwritten text, and digital images
Optical Character Recognition (OCR) for Kurdish language represents a significant advancement in digitizing Kurdish textual content. This research focuses on developing robust systems capable of accurately recognizing and converting Kurdish text from various sources including printed documents, handwritten materials, and digital images.
The primary goal of this research is to create an efficient OCR system specifically tailored for the Kurdish language, addressing the unique challenges posed by Kurdish script variations and linguistic characteristics.
Hevi and Israa have successfully completed their research work on this project, contributing to the development of training datasets and model optimization techniques.
This OCR system has significant implications for preserving Kurdish cultural heritage, enabling the digitization of historical documents, and facilitating modern digital workflows for Kurdish language content.