GMs in on-line handwritten whiteboard note recognition: The influence of implementation and modeling

Joachim Schenk, Benedikt Hörnler, Björn Schuller, Artur Braun, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present a comparison of two state-of-the-art toolboxes for implementing Graphical Models (GMs), namely the HTK and the GMTK, and their use for discrete on-line handwritten whiteboard note recognition. We then motivate a GM that is capable of modeling the statistical dependencies between the pen's pressure information and the remaining features after vector quantization. Since the number of variable parameters rises when more codebook entries are used for quantization, the proposed model outperforms standard HMMs for low numbers of codebook entries.

Original languageEnglish
Title of host publicationICDAR2009 - 10th International Conference on Document Analysis and Recognition
Pages877-880
Number of pages4
DOIs
StatePublished - 2009
EventICDAR2009 - 10th International Conference on Document Analysis and Recognition - Barcelona, Spain
Duration: 26 Jul 200929 Jul 2009

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363

Conference

ConferenceICDAR2009 - 10th International Conference on Document Analysis and Recognition
Country/TerritorySpain
CityBarcelona
Period26/07/0929/07/09

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