Researchers at Ben-Gurion University (BGU) have developed a recognition program that identifies Arabic handwriting in real time which has a success rate of more than 97%.
The system allows a user to write on an electronic screen; the software then analyses the text and translates it into printed letters in a thousandth of a second.
The researchers from the Department of Computer Sciences, Dr. Jihad El-Sana and Masters student Fadi Biadsa, developed the system which not only identifies average handwriting, but can learn new types of handwriting through use.
‘The identification of Arabic handwriting is difficult because it is joined and most of the Arabic letters contain dots either above or below the letter,’ said Dr. Jihad El-Sana.
B.G. Negev Technologies, the University’s technology transfer company, is currently seeking investors for the project.