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

Authors:
Yoshua Bengio;Yann LeCun;Craig Nohl;Chris Burges
Affiliations:
-;-;-;-
Venue:
Neural Computation
Year:
1995

Citing 0
Cited 16

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Abstract

We introduce a new approach for on-line recognition ofhandwritten words written in unconstrained mixed style. Thepreprocessor performs a word-level normalization by fitting a modelof the word structure using the EM algorithm. Words are then codedinto low resolution "annotated images" where each pixel containsinformation about trajectory direction and curvature. Therecognizer is a convolution network that can be spatiallyreplicated. From the network output, a hidden Markov model producesword scores. The entire system is globally trained to minimizeword-level errors.