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Please use this identifier to cite or link to this item: https://doi.org/10.1016/0167-8655(95)00103-4
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dc.titleStochastic topology with elastic matching for off-line handwritten character recognition
dc.contributor.authorLim, J.H.
dc.contributor.authorTeh, H.H.
dc.contributor.authorLui, H.C.
dc.contributor.authorWang, P.Z.
dc.date.accessioned2014-11-27T09:45:49Z
dc.date.available2014-11-27T09:45:49Z
dc.date.issued1996-02-08
dc.identifier.citationLim, J.H., Teh, H.H., Lui, H.C., Wang, P.Z. (1996-02-08). Stochastic topology with elastic matching for off-line handwritten character recognition. Pattern Recognition Letters 17 (2) : 149-154. ScholarBank@NUS Repository. https://doi.org/10.1016/0167-8655(95)00103-4
dc.identifier.issn01678655
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111212
dc.description.abstractWe propose a novel approach called Stochastic Topology with Elastic Matching (STEM) for off-line handwritten character recognition. Fitting characters as topological maps, STEM incrementally learns stochastic prototypes from examples with elastic matching. Experimental results on NIST digit database and connection to deformable models are also presented.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/0167-8655(95)00103-4
dc.sourceScopus
dc.subjectElastic matching
dc.subjectFuzzy clustering
dc.subjectIncremental learning
dc.subjectTopological maps
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1016/0167-8655(95)00103-4
dc.description.sourcetitlePattern Recognition Letters
dc.description.volume17
dc.description.issue2
dc.description.page149-154
dc.identifier.isiutA1996TV87400006
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