Abstract
Segmentation of touching characters in mathematical formulas needs a different method from the one for text lines, because these characters may occur in horizontal, vertical or diagonal directions.Our segmentation method is based on the projection profiles of a given binary image and minimal points of the blurred image obtained by applying the Gaussian kernel to the original image.
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Okamoto, M., Miao, B.: Recognition of Mathematical Expressions by Using Layout Structure of Symbols. Proc. of ICDAR'91 (1991) 242–250
Okamoto, M., Higashi, H.: Structure Analysis and Recognition of Mathematical Expressions. Proc. of ICDAR'95 (1995) 430–437
Kahan, S., Pavlidis, T., Baird, H. S.: On the Recognition of Printed Characters of Any Font and Size. IEEE Trans. of PAMI, 9, 2 (1987)
Wang, L., Pavlidis, T.: Direct Gray-Scale Extraction of Feature for Character Recognition. IEEE Trans. of PAMI, 15, 10 (1993) 1053–1067
Nako, K., Takamatsu, R., Sato, M., Kawarada, H.: A New Character Segmentation Method for Handwritten Documents Based on Differential Structure of Blurred Document Image. Technical Report of IEICE, PRU93-131 (1994) 9–16
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© 1999 Springer-Verlag Berlin Heidelberg
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Okamoto, M., Sakaguchi, S., Suzuki, T. (1999). Segmentation of Touching Characters in Formulas. In: Lee, SW., Nakano, Y. (eds) Document Analysis Systems: Theory and Practice. DAS 1998. Lecture Notes in Computer Science, vol 1655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48172-9_13
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DOI: https://doi.org/10.1007/3-540-48172-9_13
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