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.