Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-11758-4_38
Reference16 articles.
1. Baechler, M., Liwicki, M., Ingold, R.: Text line extraction using dmlp classifiers for historical manuscripts. In: ICDAR, pp. 1029–1033 (2013)
2. Bar-Yosef, I., Hagbi, N., Kedem, K., Dinstein, I.: Text Line Segmentation for Degraded Handwritten Historical Documents. In: ICDAR, pp. 1161–1165 (2009)
3. Biller, O., Kedem, K., Dinstein, I., El-Sana, J.: Evolution maps for connected components in text documents. In: ICFHR, pp. 403–408 (2012)
4. Bukhari, S.S., Shafait, F., Breuel, T.M.: Script-independent handwritten textlines segmentation using active contours. In: ICDAR, pp. 446–450 (2009)
5. Cohen, R., Asi, A., Kedem, K., El-Sana, J., Dinstein, I.: Robust text and drawing segmentation algorithm for historical documents. In: HIP, pp. 110–117 (2013)
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