Ink Features for Diagram Recognition

Patel, Rachel; Plimmer, Beryl; Grundy, John; Ihaka, Ross

Ink Features for Diagram Recognition

Files

131-138.pdf (548.49 KB)

Date

2007

Authors

Patel, Rachel
Plimmer, Beryl
Grundy, John
Ihaka, Ross

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.

        @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
}
}