Ink Features for Diagram Recognition
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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The 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.
Description
@inproceedings{10.2312:SBM/SBM07/131-138,
booktitle = {EUROGRAPHICS Workshop on Sketch-Based Interfaces and Modeling},
editor = {Michiel van de Panne and Eric Saund},
title = {{Ink Features for Diagram Recognition}},
author = {Patel, Rachel and Plimmer, Beryl and Grundy, John and Ihaka, Ross},
year = {2007},
publisher = {The Eurographics Association},
ISSN = {1812-3503},
ISBN = {978-3-905674-00-2},
DOI = {10.2312/SBM/SBM07/131-138}
}