Abstract
Text segmentation is an essential pre-processing stage for many systems such as text recognition and word spotting. However, few methods have been published for Arabic text segmentation. In Arabic handwritten documents, separating text into words is challenging due to the enormous different Arabic handwriting styles. In this paper, we present a new segmentation methodology of an Arabic handwritten text line into words. Our proposed approach of text segmentation utilizes the knowledge of Arabic writing characteristics. This method shows promising results.
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Jamal, A.T., Nobile, N., Suen, C.Y. (2014). End-Shape Recognition for Arabic Handwritten Text Segmentation. In: El Gayar, N., Schwenker, F., Suen, C. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2014. Lecture Notes in Computer Science(), vol 8774. Springer, Cham. https://doi.org/10.1007/978-3-319-11656-3_21
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DOI: https://doi.org/10.1007/978-3-319-11656-3_21
Publisher Name: Springer, Cham
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