Mustafa Ali Abuzaraida, Akram M Zeki, Ahmed M Zeki
Abstract
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.
Publication Date
5/12/2015
Publisher
Proceeding of the 7th International Conference on Information Technology, Amman, Jordan
مصطفى علي ابوزريدة | Mustafa Ali Abuzaraida | 12375