PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Bi-modal Handwritten Text Corpus: baseline results
Moisés Pastor i Gadea, Alejandro Hector Tosselli, Francisco Casacuberta and Enrique Vidal
In: ICPR 2010, August 23-26, Istambul (Turkey).

Abstract

Handwritten text is generally captured through two main modalities: off-line and on-line. Smart approaches to handwritten text recognition (HTR) may take advantage of both modalities if they are available. This is for instance the case in computer-assisted transcription of text images, where on-line text can be used to interactively correct errors made by a main off-line HTR system. We present here baseline results on the biMod-IAM-PRHLT corpus, which was recently compiled for experimentation with techniques aimed at solving the proposed multi-modal HTR problem, and is being used in one of the official ICPR-2010 contests

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Natural Language Processing
Multimodal Integration
ID Code:7442
Deposited By:Alfons Juan
Deposited On:17 March 2011