Techniques for Static Handwriting Trajectory Recovery: A Survey

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Title Techniques for Static Handwriting Trajectory Recovery: A Survey
Author Nguyen, Vu Minh; Blumenstein, Michael Myer
Publication Title Proceedings of the 9th IAPR International Workshop on Document Analysis Systems DAS '10
Editor ACM
Year Published 2010
Place of publication United States
Publisher ACM
Abstract On-line handwriting recognition systems are usually better than their off-line counterparts thanks to the accessibility of dynamic information such as stroke order, velocity, acceleration, and pressure. Whilst the exact value of velocity as well as acceleration or pressure is unlikely to be recoverable, the temporal order of the strokes or the pen trajectory is shown to be more promising for recovery. The published experimental results suggest that the recovered pen trajectory information actually improves the off-line recognition accuracy. This paper presents an overview and discussion of pen trajectory recovery methods developed to date.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1145/1815330.1815390
Copyright Statement Copyright ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems , ISBN(978-1-60558-773-8 ) http://dx.doi.org/10.1145/1815330.1815390
ISBN 978-1-60558-773-8
Conference name DAS '10
Location Boston, MA, USA
Date From 2010-06-09
Date To 2010-06-11
URI http://hdl.handle.net/10072/38243
Date Accessioned 2011-02-02
Date Available 2011-09-15T05:46:00Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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