Spontaneous Handwriting Recognition and Classification

Authors:
Alejandro H. Toselli;Alfons Juan;Enrique Vidal
Affiliations:
Universidad Politénica de Valencia, Spain;Universidad Politénica de Valencia, Spain;Universidad Politénica de Valencia, Spain
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Abstract

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.