On Multiple Typeface Arabic Script Recognition
Abdelmalek Zidouri · 2010
Abstract: In this study, we propose a new sub-word segmentation and recognition scheme, which is independent of font size and font type. Different ways of recognition are attempted namely Neural Net, template 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.