The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment

Zhaoxin Chen 1 Eric Anquetil 1 Harold Mouchère 2 Christian Viard-Gaudin 2
1 INSA Rennes - Institut National des Sciences Appliquées - Rennes
2 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
Abstract : We propose in this paper a new online Multi-User Multi-Touch handwritten diagram DataBase (MUMTDB) for evaluating recognition systems under the multi-user situation. The data is collected according to two predefined mind map scenarios which contains 9 classes of graphical symbols. Each scenario is completed by involving two users at the same time. Since the users are given freedom to draw the symbols as they want, the dataset contains a diversity of multi-stroke and even multi-touch symbols. It allows addressing new challenging problems regarding the recognition of simultaneous composition of structured documents. The dataset is freely available on-line.
Keywords : multiple users Multi-touch handwritten diagram stroke grouping
Type de document :
Communication dans un congrès
International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. 2016
Liste complète des métadonnées
https://hal.univ-antilles.fr/hal-01374376
Contributeur : Harold Mouchère <>
Soumis le : vendredi 30 septembre 2016 - 13:00:33
Dernière modification le : lundi 14 janvier 2019 - 10:00:10

Identifiants

  • HAL Id : hal-01374376, version 1

Collections

UNIV-AG | EC-NANTES | IRCCYN | UNAM | UNIV-NANTES | IVC-IPI | INSA-GROUPE

Citation

Zhaoxin Chen, Eric Anquetil, Harold Mouchère, Christian Viard-Gaudin. The MUMTDB dataset for evaluating simultaneous composition of structured documents in a multi-user and multi-touch environment. International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. 2016. 〈hal-01374376〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

265

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD