An efficient, classification-based approach for grouping pen strokes into objects-Reference-Cited by-同舟云学术

An efficient, classification-based approach for grouping pen strokes into objects

Published:2014-08 Issue: Volume:42 Page:14-30
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Stahovich Thomas F.,Peterson Eric J.,Lin Hanlung

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference34 articles.

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3. Anthony Lisa, Wobbrock Jacob O. $n-protractor: a fast and accurate multistroke recognizer. In: Proceedings of graphics interface 2012, GI ׳12. Toronto, Ont., Canada: Canadian Information Processing Society; 2012. p. 117–20.

4. Bhat Akshay, Hammond Tracy. Using entropy to distinguish shape versus text in hand-drawn diagrams. In: Proceedings of the 21st international joint conference on artificial intelligence. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.; 2009. p. 1395–400.

5. Bishop Christopher M, Svensen Markus, Hinton Goeffrey E. Distinguishing text from graphics in on-line handwritten ink. In: IWFHR-9 2004. Ninth international workshop on frontiers in handwriting recognition. Kokubunji, Tokyo, Japan: IEEE; 2004. p. 142–7.

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