TY  - JOUR
T1  - New Preprocessing Methods for Hand-Written Arabic Word
AU - , Faouzi Bouchareb AU - , Mouldi Bedda AU - , Salim Ouchetati 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 6
SP  - 609
EP  - 613
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.609.613
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.609.613
KW  - Arabic word recognition
KW  -baseline correction
KW  -slant correction
KW  -smoothing image
KW  -Hough Transform
KW  -intersection points
KW  -coin point
KW  -end points
KW  -skeletonization
AB  - This study describes new preprocessing methods for hand-written Arabic word using Hough Transform and geometrical processing applied on the skeleton chain list, using characteristic points (end points, intersection points and coin points) of the word in order to estimate and correct a baseline and slant of the word. We use these algorithms in order to obtain an aligned word which can be well segmented and recognized. The results show that these methods are very powerful for most word images on the Algerian cities name database. The result image is useful for the holistic approach and segmentation approach.
ER  -