Fitting elastic maps to recognize handwritten digits
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.