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Layout analysis for camera-based whiteboard notes

Lookup NU author(s): Dr Thomas Ploetz


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A domain where, even in the era of electronic document processing, hand-writing is still widely used is note-taking on a whiteboard. Such documents are eithercaptured by a pen-tracking device or - which is much more challenging - by a camera. In both cases the layout analysis of realistic whiteboard notes is an open researchproblem. In this paper we propose a camera-based three-stage approach for the automatic layout analysis of whiteboard documents. Assuming a reasonable foreground-backgroundseparation of the handwriting it starts with a locally adaptive binarization followed byconnected component extraction. The latter are then automatically classified as representing either simple graphical elements of a mindmap or elementary text patches. Inthe final stage the text patches are subject to a clustering procedure in order to generate hypotheses for those image regions where textual annotations of the mindmap canbe found. In order to demonstrate the effectiveness of the proposed approach we report results of a writer independent experimental evaluation on a data set of mindmap images created by several different writers without any constraints on writing or drawing style. © J.UCS.

Publication metadata

Author(s): Vajda S, Ploetz T, Fink G

Publication type: Article

Publication status: Published

Journal: Journal of Universal Computer Science

Year: 2009

Volume: 15

Issue: 18

Pages: 3307-3324

ISSN (print): 0948-695X

ISSN (electronic): 0948-6968

Publisher: Technische Universitaet Graz


DOI: 10.3217/jucs-015-18-3307


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