  Arabic is one of the languages that present special challenges to Optical
character recognition (OCR). The main challenge in Arabic is that it is mostly
cursive. Therefore, a segmentation process must be carried out to determine
where the character begins and where it ends. This step is essential for
character recognition. This paper presents Arabic character segmentation
algorithm. The proposed algorithm uses the projection-based approach concepts
to separate lines, words, and characters. This is done using profile's
amplitude filter and simple edge tool to find characters separations. Our
algorithm shows promising performance when applied on different machine printed
documents with different Arabic fonts.

Computer Vision and Pattern Recognition;Information Retrieval