Presentation The MUMTDB DataBase can be used for evaluating recognition systems under the multi-user situation. The handwriting data is collected based on two predefined mind map scenarios which contains 9 different classes of graphical symbols. Each scenario is completed by involving two users at the same time. Since the users…
Presentation The database of partial block letters is available on demand. This database is the one used in the article: Damien Simonnet, Eric Anquetil, Manuel Bouillon. Multi-Criteria Handwriting Quality Analysis with Online Fuzzy Models. Pattern Recognition, Elsevier, 2017, 69, pp.310-324. https://doi.org/10.1016/j.patcog.2017.04.003 hal-01515397 Description Training and testing datasets are extracted from a dataset…
Presentation HBF49 is a unified feature representation for universal online symbol recognition (see [1]). It was constructed by aggregating 49 features covering all the aspects needed for recognition of symbols that may have different characteristics (single stroke or multi-strokes, in/sensitivity to orientation, stroke order…). The details of the approach and…
Presentation Data collection sessions were performed jointly by the Intuidoc team (Irisa laboratory, Rennes, France) and the Loustic laboratory (Rennes). Any use of the database should mention a reference to its original source. The collection of pen-based gestures was done within an immersive environment. People were asked to perform pen-based…
Présentation La base de données APDB (Architecture plan database) Caractéristiques Caractéristiques à venir Téléchargement La base de données peut être téléchargée sous forme d’un fichier zip contenant toutes les données ainsi que les fichiers d’informations décrivant les données collectées. Téléchargement à venir Contact Pour toute question ou suggestion, vous pouvez…
Présentation Data collection sessions were performed by the Intuidoc team (Irisa laboratory, Rennes, France). Examples of symbols Properties Data was collected from 50 architectural plans. The database is organized in 5 subsets, each subset containing symbols from 10 plans. In total, 13 classes of symbols are included…
Overview IME-OnDB database contains online handwritten data collected in a handwritten Input MEthod and edition tool. It can be used for training and test of online handwritten recognition systems, and more particularly for evaluating quality of relative positioning description. Data samples are organized by pairs of object. A pair is…
Overview The Synchromedia-Imadoc Gesture New On-Line Database (SIGN-OnDB) contains data corresponding to on-line handwritten gestures. It can be used to train and test gesture recognition systems, used in applications associating specific gestures to edit functions, for example (like copying digital ink elements). The data was acquired on Tablet PCs and…
Overview ImadocSen-OnDB is a database containing on-line handwritten sentences made up of English words in lowercase letters. It can be used to train and evaluate handwriting recognition systems, either on sentences or on isolated words, or for writer identification tasks. The data were collected on Tablet PCs. The first version…
