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Spontaneous Handwriting Recognition and Classification
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133415117th International Conference on Patt ...
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Alejandro H. Toselli, Universidad Polit?nica de Valencia, Spain
Alfons Juan, Universidad Polit?nica de Valencia, Spain
Enrique Vidal, Universidad Polit?nica de Valencia, Spain
Finite-state models are used to implement a handwritten text recognition and classification system for a real application entailing casual, spontaneous writing with large vocabulary. Handwritten short paragraphs are to be classified into a small number of predefined classes. The paragraphs involve a wide variety of writing styles and contain many non-textual artifacts. HMMs and n-grams are used for text recognition and n-grams are also used for text classification. Experimental results are reported which, given the extreme difficulty of the task, are encouraging.
Citation:
Alejandro H. Toselli, Alfons Juan, Enrique Vidal, "Spontaneous Handwriting Recognition and Classification," icpr, vol. 1, pp.433-436, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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