Bilingual OCR System for Myanmar and English Scripts with Simultaneous Recognition

Htwe Pa Pa Win, Phyo Thu Thu Khine, Khin Nwe Ni Tun AbstractThe increasing amount of development of the digital libraries worldwide raises many new challenges for document image analysis research and development. Storing wide variety of document images in Digital library, for example, for cultural, technical or historical, that are written in many languages, also create many advancement for present day digital image analysis systems. And when the Digital Library is concerned with Science and Technology documents, it needs to advance the OCR system to bilingual nature as most of them are written in Myanmar in combination with English letters. In this paper a bilingual OCR to simultaneously recognize the printed English and Myanmar texts is proposed including segmentation mechanism for the overlapping nature of Myanmar scripts. The effectiveness of the proposed mechanism is proved with the experimental results of segmentation accuracy rates, comparisons of feature extraction methods and overall accuracy rates.