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.
Research Objectives
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.
Key Features
- Support for multiple Kurdish dialects and script variations
- High accuracy recognition of both printed and handwritten text
- Integration with modern deep learning architectures
- Real-time processing capabilities
Impact and Applications
This OCR system has significant implications for preserving Kurdish cultural heritage, enabling the digitization of historical documents, and facilitating modern digital workflows for Kurdish language content.