PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Online Handwritten Shape Recognition Using Segmental Hidden Markov Models
Thierry Artières, Sanparith Marukatat and Patrick Gallinari
IEEE Transactions on Pattern Analysis and Machine Intelligence Volume 29, Number 2, {205-217, 2007.

Abstract

We investigate a new approach for online 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:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:3077
Deposited By:Thierry Artieres
Deposited On:07 December 2007