Dynamic Space Warping Of Strokes For Recognition Of Online Handwritten Characters


Autoria(s): Sen, Amrik; Ananthakrishnan, G; Sundaram, Suresh; Ramakrishnan, AG
Data(s)

01/08/2009

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/22949/1/S0218001409007375.pdf

Sen, Amrik and Ananthakrishnan, G and Sundaram, Suresh and Ramakrishnan, AG (2009) Dynamic Space Warping Of Strokes For Recognition Of Online Handwritten Characters. In: 13th Conference of the International-Graphonomics-Society Melbourne, NOV 11-14, 2007, Melbourne, Austrlia, pp. 925-943.

Publicador

World Scientific Publ Co Pte Ltd

Relação

http://www.worldscinet.com/ijprai/23/2305/S0218001409007375.html

http://eprints.iisc.ernet.in/22949/

Palavras-Chave #Electrical Engineering
Tipo

Conference Paper

PeerReviewed