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Nowadays, online text recognition systems are being given tremendous attention worldwide due to the fast growth of touch screen devices industry. Although, keyboards and mice devices have not become/are not applicable to be used by smaller devices, these reasons pushed researchers to focus on new techniques which are able to design this kind of systems. These online systems can deal with multiple types of texts such as alphabets, digits, and symbols. In this paper, an online system for recognizing handwritten Arabic digits has been presented. The paper illustrates four phases of the system in details which are: digits acquisition, preprocessing, features extraction, and recognition phase. The dataset of the system was collected by 100 writers using a touch screen laptop with 100 samples of each digit. The results of testing the proposed system showed a high accuracy rate with an average of 98 percentage.

ONLINE RECOGNITION SYSTEM FOR HANDWRITTEN ARABIC DIGITS