Abstract
In this paper a new technique for handwritten word description is presented. It is based on the development of a description graph which results little sensitive to handwriting variability. The experimental results show the effectiveness of the description graph in retaining the basic information for the recognition of the word image.
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K. Sakai, H. Asami, Y. Tanabe, “Advanced application systems for handwritten character recognition”, in From Pixels to Features III — Frontiers in Handwriting Recognition, S. Impedovo, J.C. Simon, (eds.), Elsevier Publ., 1992, pp. 175–186.
E. Lecolinet, O. Baret, “Cursive Word Recognition: Methods and Strategies”, in Fundamentals in Handwriting Recognition, S. Impedovo (ed.), NATO ASI Series, Springer Verlag 1994, pp. 235–263.
J.Hull, T.-K. Ho, J. Favata, V. Govindaraju, S. Srihari,”Combination of Segmentation-based and Wholistic Handwritten Word Recognition Algorithms”, in From Pixels to Features III — Frontiers in Handwriting Recognition, S. Impedovo, J.C. Simon, (eds.), Elsevier Publ., 1992, pp.229–240.
N.J. Naccache, R. Shingal, “SPTA:A proposed algorithm for thinning binary Patterns”, IEEE Trans. Syst. Man, Cybern., no. 3, 1984.
G. Dimauro, M.R. Grattagliano, S. Impedovo, G. Pirlo, “A System for Banckchecks Processing”, IEEE Computer Society Press, Vol. 4960-02, ICDAR '93, Tsukuba Science City-Japan, Oct. 1993, pp. 454–459.
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© 1995 Springer-Verlag Berlin Heidelberg
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Congedo, G., Dimauro, G., Impedovo, S., Pirlo, G. (1995). Describing words by graphs. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_307
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DOI: https://doi.org/10.1007/3-540-60298-4_307
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