TY - JOUR KW - Arabic Documents KW - Handwritten Character Recognition KW - Text Mining KW - Text Line Segmentation KW - Connected Component Analysis KW - Projection Profile KW - Watershed Transform AU - Youssef Boulid AU - Abdelghani Souhar AU - Mly. Ouagague AU - E Ameur AB - A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the variability of writing, the presence of diacritical points and the high number of ascender and descender characters complicates more the process of the segmentation. To remedy with this complexity and even to make this difficulty an advantage since the focus is on the Arabic language which is semi-cursive in nature, a method based on the Watershed Transform technique is proposed. Tested on «Handwritten Arabic Proximity Datasets» a segmentation rate of 93% for a 95% of matching score is achieved. IS - Regular Issue M1 - 6 N2 - A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the variability of writing, the presence of diacritical points and the high number of ascender and descender characters complicates more the process of the segmentation. To remedy with this complexity and even to make this difficulty an advantage since the focus is on the Arabic language which is semi-cursive in nature, a method based on the Watershed Transform technique is proposed. Tested on «Handwritten Arabic Proximity Datasets» a segmentation rate of 93% for a 95% of matching score is achieved. PY - 2017 SP - 96 EP - 102 T2 - International Journal of Interactive Multimedia and Artificial Intelligence TI - Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform UR - http://www.ijimai.org/journal/sites/default/files/files/2017/08/ijimai20174_6_13_pdf_11239.pdf VL - 4 SN - 1989-1660 ER -