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Layout Analysis for Camera-Based Whiteboard Notes
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نویسنده
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Vajda Szil´ard ,Pl¨otz Thomas ,Fink Gernot A.
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منبع
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journal of universal computer science - 2009 - دوره : 15 - شماره : 18 - صفحه:3307 -3324
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چکیده
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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 either captured by a pen-tracking device or – which is much more challenging – by a cam- era. in both cases the layout analysis of realistic whiteboard notes is an open research problem. in this paper we propose a camera-based three-stage approach for the automatic lay- out analysis of whiteboard documents. assuming a reasonable foreground-background separation of the handwriting it starts with a locally adaptive binarization followed by connected component extraction. the latter are then automatically classified as repre- senting either simple graphical elements of a mindmap or elementary text patches. in the final stage the text patches are subject to a clustering procedure in order to gener- ate hypotheses for those image regions where textual annotations of the mindmap can be 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.
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کلیدواژه
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Words: whiteboard notes ,handwriting recognition ,mindmap recognition ,cambased recognition ,writer independent document layout analysis
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آدرس
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TU Dortmund, Department of Computer Science, Germany, Newcastle University, School of Computing Science, United Kingdom, TU Dortmund, Department of Computer Science, Germany
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پست الکترونیکی
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gernot.fink@udo.edu
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Authors
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