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Fitting elastic maps to recognize handwritten digits

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4 Author(s)
Lim, J.H. ; Neuro ISS Lab., RWCP, Kent Ridge, Singapore ; Teh, H.H. ; Lui, H.C. ; Wang, P.Z.

In this paper, we present a novel approach to recognize off-line handwritten characters by fitting elastic topological maps. A supervised incremental clustering algorithm is designed to learn stochastic prototypes from examples with elastic matching. We report experimental results on NIST SD3 digit recognition using our proposed approach and draw a connection to deformable models

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference:

Nov/Dec 1995

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