Abstract
Text segmentation from scanned map images is a challenging task as the texts in maps have wide variation in font, skew, spatial spread, touching components and a myriad background. We present a segmentation process by separating map components to three layers based on their areas. Further analysis, on spatial spread and node density from component graph leads to segmentation with encouraging performance.
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Biswas, S., Das, A.K. (2013). Text Segmentation from Land Map Images. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_72
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DOI: https://doi.org/10.1007/978-3-642-45062-4_72
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