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Neural Computation, Vol 7, 1289-1303, Copyright © 1995 by The MIT Press

ARTICLES

LeRec: a NN/HMM hybrid for on-line handwriting recognition

Y Bengio, Y LeCun, C Nohl and C Burges
AT&T Bell Laboratories, Holmdel, NJ 07733, USA.

We introduce a new approach for on-line recognition of handwritten words written in unconstrained mixed style. The preprocessor performs a word-level normalization by fitting a model of the word structure using the EM algorithm. Words are then coded into low resolution "annotated images" where each pixel contains information about trajectory direction and curvature. The recognizer is a convolution network that can be spatially replicated. From the network output, a hidden Markov model produces word scores. The entire system is globally trained to minimize word-level errors.




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J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1995 by The MIT Press.