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- W2370701637 abstract "The greatest difficulty facing the recognition of Arabic handwritten words is segmentation, because Arabic handwriting is cursive with complex multi-form styles. Hence, intensive research efforts are needed to reach an effective Arabic handwriting segmentation system. This paper presents a system which uses morphological features of the Arabic characters for segmentation. The proposed system segments non-overlapped (horizontally connected -e.g. حسن) as well as overlapped (vertically connected - e.g. نجد) characters. The result is not very good one. However, it arrives at good directives for more research. As the writing was freely without any restrictions, both over-segmentation and under-segmentation problems affect the system." @default.
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- W2370701637 date "2016-03-10" @default.
- W2370701637 modified "2023-09-24" @default.
- W2370701637 title "Designing an Arabic Handwritten Segmentation System" @default.
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