Abstract
This paper presents a method for graphical drop caps indexing. Drop caps are extracted from old books. Finding a method classifying them according to styles defined by the historian is of considerable interest. The developed method is a statistical approach, where all possible patterns included in a pixel mask are processed in order to extract indexes that characterize the image. Then these indexes are used to classify a query drop cap by searching its most similar drop caps in the indexed base.
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Jiang, Y.-G., Ngo, C.-W., Yang, J.: Towards Optimal Bag-of-Features for Object Categorization and Semantic Video Retrieval. In: International Conference on Image and Video Retrieval, CIVR 2007 (2007)
Jones, K.S.: Experiments in relevance weighting of search terms. Information Processing and Management 15, 133–144 (1979)
Coustaty, M., Ogier, J.-M., Pareti, R., Vincent, N.: Drop Caps Decomposition For Indexing A New Letter Extraction Method. In: ICDAR 2009 (2009)
Pareti, R., Vincent, N.: Ancient letters indexing. In: International Conference on Patteri Recognition ICPR (2006)
Salton, G., Wong, A., Yang, C.S.: A Vector Space Model for Auto- Page 46, 50, 74 matic Indexing. Communications of the ACM 18, 613–620 (1975)
Salton, G., Allan, J.: Automatic Text Decomposition and Structuring. In: Proceedings RIAO 1994 Conference, CID, Paris, October 1994, pp. 6–20 (1994)
Gadat, S., Younes, L.: Stochastic Algorithm for Feature Selection in Pattern Recognition. Journal of Machine Learning Research 8, 509–547 (2007)
Caron, Y., Makris, P., Vincent, N.: Use of power law models in detecting region of interest. Pattern Recognition 40, 2521–2529 (2007)
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Chouaib, H., Cloppet, F., Vincent, N. (2010). Graphical Drop Caps Indexing. In: Ogier, JM., Liu, W., Lladós, J. (eds) Graphics Recognition. Achievements, Challenges, and Evolution. GREC 2009. Lecture Notes in Computer Science, vol 6020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13728-0_19
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DOI: https://doi.org/10.1007/978-3-642-13728-0_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13727-3
Online ISBN: 978-3-642-13728-0
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