Handwritten Word Recognition using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models

Part of Advances in Neural Information Processing Systems 8 (NIPS 1995)

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Bernard LemariƩ, Michel Gilloux, Manuel Leroux


A hybrid and contextual radial basis function networklhidden Markov model off-line handwritten word recognition system is presented. The task assigned to the radial basis function networks is the estimation of emission probabilities associated to Markov states. The model is contex(cid:173) tual because the estimation of emission probabilities takes into account the left context of the current image segment as represented by its pred(cid:173) ecessor in the sequence. The new system does not outperform the previ(cid:173) ous system without context but acts differently.