@conference{344,
  author = {Bilal Alsallakh and Hani Safadi},
  title = {AraPen: An Arabic Online Handwriting Recognition System},
  abstract = {In this paper we present AraPen, a trainable system we developed to recognize Arabic online handwriting. The system is based on mathematical matching techniques and our testing results show high recognition rate for non-cursive character recognition, and are promising for cursive recognition. The low memory and CPU requirements enable the system to run on low-end devices interactively
},
  year = {2006},
  journal = {Information and Communication Technologies, ICTTA '06. 2nd},
  volume = {1},
  pages = {1844 -1849},
  publisher = {IEEE },
  address = {Damascus, Syria},
  doi = {10.1109/ICTTA.2006.1684669},
  note = {Bachelor's project
},
}