Abstract
Conference Title: 2014 14th International Conference on Intelligent Systems Design and Applications (ISDA) Conference Start Date: 2014, Nov. 28 Conference End Date: 2014, Nov. 30 Conference Location: Okinawa, Japan This paper presents a novel system approach for online Arabic handwriting recognition. The approach segments the word using new character boundaries detection based algorithm. Moreover it employs HMM-based classification method for the recognition. A dataset: Sudan University of Science and Technology Online Arabic Handwriting (SUSTOLAH) is used in testing the proposed approach. Promising experimental results of testing the approach with the dataset are provided