STROKE LEVEL MODELING OF ON LINE HANDWRITING THROUGH MULTI­MODAL SEGMENTAL MODEL

T. Artières, J-M. Marchand, P. Gallinari, B. Dorissi

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Abstract

Hidden Markov Models (HMMs) have become within a few years the main technology for on line handwritten word recognition (HWR). We consider here segment models which generalize HMMs, these models aim at modeling the signal at a global level rather than at the frame level and have been shown to overcome standard HMMs in their modeling ability. We propose a new segment model which allows to automatically handle different writing styles. We compare our system on the isolated character set of the UNIPEN database to a reference system and a baseline segment model.
Original languageEnglish
Title of host publicationEPRINTS-BOOK-TITLE
Publishers.n.
Number of pages10
Publication statusPublished - 2004

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