On multiple typeface arabic script recognition

In this study, we propose a new sub-word segmentation and recognition scheme, which is independent of font size an d fon t type. Different ways of recognition a re attempted namely Neural Net, temp late matching and principal component analysis. Results show that the real problem in Arabic character recognition remains the challenging separation of sub-words into characters. The system is realized in a modularized way. The combination of the different modules forms the basis of a complete Arabic OCR system. A successful preprocessing stage is reported. Unlike Latin based languages, recognition of printed Arabic characters remains an open field of research.