Abstract
Document image segmentation to textlines is a decisive stage towards unconstrained handwritten document recognition. In this paper, an improvised scheme for handwritten text line segmentation is proposed. The proposed method is an improvised method to Alaei et al., 2010 [1] by applying block separation and edge detection process. The proposed method was tested on variety of handwritten documents pertaining to English, Persian, and Kannada and the results was remarkable.
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Mohammadi, M., Chanijani, S.S.M., Aradhya, V.N.M., Kumar, G.H. (2011). An Improved Handwritten Text Line Segmentation Technique. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_29
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DOI: https://doi.org/10.1007/978-3-642-22720-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22719-6
Online ISBN: 978-3-642-22720-2
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