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

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Liwicki, Marcus (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore World Scientific Pub. Co. c2008
Schriftenreihe:Series in machine perception and artificial intelligence v. 71
Schlagwörter:
Links:http://www.worldscientific.com/worldscibooks/10.1142/6854#t=toc
http://www.worldscientific.com/worldscibooks/10.1142/6854#t=toc
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%
Umfang:xx, 206 p. ill. (some col.)
ISBN:9789812814548