Please use this identifier to cite or link to this item: https://doi.org/10.1016/0167-8655(95)00103-4
Title: Stochastic topology with elastic matching for off-line handwritten character recognition
Authors: Lim, J.H. 
Teh, H.H. 
Lui, H.C. 
Wang, P.Z. 
Keywords: Elastic matching
Fuzzy clustering
Incremental learning
Topological maps
Issue Date: 8-Feb-1996
Citation: Lim, 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
Abstract: We 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.
Source Title: Pattern Recognition Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/111212
ISSN: 01678655
DOI: 10.1016/0167-8655(95)00103-4
Appears in Collections:Staff Publications

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