Abstract
If the pre-processing phase, in optical character recognition systems, is the heart of the recognition process, the segmentation stage is the “aorta” of this heart. This paper introduce a reliable segmentation technique for Arabic handwritten script. Number of techniques like; script height, character width, pen thickness and word/subword gaps are used to design an efficient segmentation algorithm. the algorithm performs diacritics removal, word/subword segmentation, ascender characters segmentation, descender characters segmentation and finally embedded characters segmentation.
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Ali, M.A. (2015). An Efficient Segmentation Algorithm for Arabic Handwritten Characters Recognition System. In: Abraham, A., Krömer, P., Snasel, V. (eds) Afro-European Conference for Industrial Advancement. Advances in Intelligent Systems and Computing, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13572-4_16
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DOI: https://doi.org/10.1007/978-3-319-13572-4_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13571-7
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