In this paper, we present a generic Optical Character Recognition system for Arabic script languages called
Nabocr. Nabocr uses OCR approaches specific for Arabic script recognition. Performing recognition on Arabic
script text is relatively more difficult than Latin text due to the nature of Arabic script, which is cursive and
context sensitive. Moreover, Arabic script has different writing styles that vary in complexity. Nabocr is initially
trained to recognize both Urdu Nastaleeq and Arabic Naskh fonts. However, it can be trained by users to be
used for other Arabic script languages. We have evaluated our system's performance for both Urdu and Arabic.
In order to evaluate Urdu recognition, we have generated a dataset of Urdu text called UPTI (Urdu Printed
Text Image Database), which measures different aspects of a recognition system. The performance of our system
for Urdu clean text is 91%. For Arabic clean text, the performance is 86%. Moreover, we have compared the
performance of our system against Tesseract's newly released Arabic recognition, and the performance of both
systems on clean images is almost the same.