Ink Features for Diagram Recognition

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dc.contributor.authorPatel, Rachelen_US
dc.contributor.authorPlimmer, Berylen_US
dc.contributor.authorGrundy, Johnen_US
dc.contributor.authorIhaka, Rossen_US
dc.contributor.editorMichiel van de Panne and Eric Saunden_US
dc.date.accessioned2014-01-28T17:52:47Z
dc.date.available2014-01-28T17:52:47Z
dc.date.issued2007en_US
dc.description.abstractThe ability to automatically recognize a sketch accurately is important to computer-based diagramming. Many recognition techniques have been proposed but few researchers have reported the use of formal methods to select the most appropriate ink features for recognition algorithms. We have used a statistical approach to identify the most important distinguishing features of ink for dividing text and shapes. We implemented these into an existing recognition engine and conducted a comparative evaluation. Our feature set more successfully classified a range of common diagram elements than two existing dividers.en_US
dc.description.seriesinformationEUROGRAPHICS Workshop on Sketch-Based Interfaces and Modelingen_US
dc.identifier.isbn978-3-905674-00-2en_US
dc.identifier.issn1812-3503en_US
dc.identifier.urihttps://doi.org/10.2312/SBM/SBM07/131-138en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and subject descriptors: I.4.7 [Image Processing and Computer Vision]: Feature Measurement - feature representationen_US
dc.titleInk Features for Diagram Recognitionen_US
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SBM07: Sketch Based Interfaces and Modeling 2007