Abstract
Considering the vast collection of handwritten documents in various archives, research studies for their automatic processing have major impact in the society. Line segmentation from images of such documents is a crucial step. The problem is more difficult for documents of major Indian scripts such as Bangla because a large number of its characters have either ascender or descender or both and the majority of its writers are accustomed in extremely cursive handwriting. In this article, we describe a novel strip based text line segmentation method for handwritten documents of Bangla. Moreover, the proposed method has been found to perform efficiently on English and Devanagari handwritten documents. We conducted extensive experimentations and its results show the robustness of the proposed approach on multiple scripts.
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Biswas, B., Bhattacharya, U., Chaudhuri, B.B. (2017). A Robust Scheme for Extraction of Text Lines from Handwritten Documents. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-2107-7_10
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DOI: https://doi.org/10.1007/978-981-10-2107-7_10
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