Hasan Al-Rashaideh

Preprocessing Phase for Arabic Word Handwritten Recognition

In this paper we reviewed the importance of the pattern classification and its application. We list the characteristics of Arabic language writing style, furthermore focused on the preprocessing step of the recognition system. We described and tested algorithm to create skeleton which will be the base representation of Arabic words which we will use for feature extraction phase. Also we discussed and implemented the algorithm of baseline detection. The algorithms of skeleton and baseline detection are tested using database IFN/ENIT of handwritten Tunisian town names and they work properly.