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ICPR
2004
IEEE

Spontaneous Handwriting Recognition and Classification

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Spontaneous Handwriting Recognition and Classification
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.
Alejandro Hector Toselli, Alfons Juan, Enrique Vid
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Alejandro Hector Toselli, Alfons Juan, Enrique Vidal
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