Recognition of whiteboard notes: online, offline and combination

The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied....

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Liwicki, Marcus (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Singapore World Scientific Pub. Co. c2008
Schriftenreihe:Series in machine perception and artificial intelligence v. 71
Schlagworte:
Online-Zugang:FHN01
Volltext
Zusammenfassung:The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system. The experimental results on the test set show a highly significant improvement of the recognition performance to more than 86%
Beschreibung:xx, 206 p. ill. (some col.)
ISBN:9789812814548