17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Spontaneous Handwriting Recognition and Classification
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
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