Spatial Similarity based Stroke Number and Order Free Clustering

Santosh K.C. 1 Cholwich Nattee 2 Bart Lamiroy 1, 3
1 QGAR - Querying Graphics through Analysis and Recognition
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any number and order, writer independently. Learnt strokes are hierarchically agglomerated via Dynamic Time Warping based on their location and their number and stored accordingly. We experimentally validate our concept by showing its ability to improve recognition performance on previously published results.
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Submitted on : Saturday, September 11, 2010 - 1:11:15 AM
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Santosh K.C., Cholwich Nattee, Bart Lamiroy. Spatial Similarity based Stroke Number and Order Free Clustering. International Conference on Frontiers in Handwriting Recognition, Nov 2010, Kolkata, India. ⟨inria-00516726⟩

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