The IFN/ENIT-database - a tool to develop Arabic handwriting recognition systems

The IFN/ENIT-database - a tool to develop Arabic handwriting recognition systems

Databases enclosing a huge amount of images of handwritten words together with detailed ground truth information are the most important precondition for the development of handwritten word recognition systems. The IFN/ENIT-database of handwritten Tunisian town names is used by many research groups w...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: El Abed, H., Margner, V.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cities and towns
Communications technology
Handwriting recognition
Image databases
Information systems
Labeling
Plasma welding
Shape
Signal processing
Skeleton
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Beschreibung
Zusammenfassung:Databases enclosing a huge amount of images of handwritten words together with detailed ground truth information are the most important precondition for the development of handwritten word recognition systems. The IFN/ENIT-database of handwritten Tunisian town names is used by many research groups working on recognition systems. This paper gives at first a short overview about the most important features of the IFN/ENIT-database. In the second part an example of using the data for developing baseline estimation methods is given. In the third part a recognition system is described and some results are shown.
DOI:10.1109/ISSPA.2007.4555529