Fine-grained document genre classification using first order random graphs

We approach the general problem of classifying machine-printed documents into genres. Layout is a critical factor in recognizing fine-grained genres, as document content features are similar. Document genre is determined from the layout structure detected from scanned binary images of the document p...

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Bibliographische Detailangaben

Hauptverfasser:	Bagdanov, A.D., Worring, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automation Data mining Information analysis Information systems Intelligent sensors Intelligent systems Machine intelligence Optical character recognition software Performance analysis Text analysis
Online-Zugang:	Volltext bestellen
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