PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Conditional Random Fields for Online Handwriting Recognition
T-M-T Do and T Artières
In: IWFHR 2006, 23-26 Oct 2006, La Baule, France.

Abstract

In this work, we present a conditional model for online handwriting recognition. Our approach is based on Conditional Random Fields (CRFs), a probabilistic discriminant model that has been generally used up to now in particular settings, for labeling and parsing of sequential data such as text documents and biological sequences. We propose to adapt these models in order to build systems for handwriting recognition. We propose a few systems whose architecture allows dealing with multimodal classes and exploiting segmental features that are much adapted to signal data like online handwriting.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:2840
Deposited By:Thierry Artieres
Deposited On:22 November 2006