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Dynamic space warping of strokes for recognition of online handwritten characters
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
2009 (English)In: International journal of pattern recognition and artificial intelligence, ISSN 0218-0014, Vol. 23, no 5, 925-943 p.Article in journal (Refereed) Published
Abstract [en]

This paper suggests a scheme for classifying online handwritten characters, based on dynamic space warping of strokes within the characters. A method for segmenting components into strokes using velocity profiles is proposed. Each stroke is a simple arbitrary shape and is encoded using three attributes. Correspondence between various strokes is established using Dynamic Space Warping. A distance measure which reliably differentiates between two corresponding simple shapes (strokes) has been formulated thus obtaining a perceptual distance measure between any two characters. Tests indicate an accuracy of over 85% on two different datasets of characters.

Place, publisher, year, edition, pages
2009. Vol. 23, no 5, 925-943 p.
Keyword [en]
Online character recognition, dynamic space warping, perceptual shape
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-30707DOI: 10.1142/S0218001409007375ISI: 000269143500005ScopusID: 2-s2.0-69249115839OAI: diva2:402867
QC 20110310Available from: 2011-03-10 Created: 2011-03-04 Last updated: 2011-03-10Bibliographically approved

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Ananthakrishnan, Gopal
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