This article presents the development of an Arabic online handwriting recognition system. To develop our system, we have chosen the neural network approach. It offers solutions for most of the difficulties linked to Arabic script recognition. We test the approach with our collected databases. This system shows a good result and it has a high accuracy (98.50% for characters, 96.90% for words).