PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

On-line handwritten shape recognition using segmental Hidden Markov Models
T Artières, S Marukatat and P Gallinari
IEEE Transasctions Pattern Analysis and Machine Intelligence Volume Februrary 2007, 2007.

Abstract

We investigate a new approach for on-line handwritten shape recognition. Interesting features of this approach include learning without manual tuning, learning from very few training samples, incremental learning of characters and adaptation to the user-specific needs. The proposed system can deal with two dimensional graphical shapes such as Latin and Asian characters, command gestures, symbols, small drawings, and geometric shapes. It can be used as a building block for a series of recognition tasks with many applications.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Learning/Statistics & Optimisation
ID Code:1305
Deposited By:Thierry Artieres
Deposited On:22 November 2006