Multi-Digit Recognition Using a Space Displacement Neural Network
Matan, Ofer, Burges, Christopher J. C., LeCun, Yann, Denker, John S.
–Neural Information Processing Systems
We present a feed-forward network architecture for recognizing an unconstrained handwritten multi-digit string. This is an extension of previous work on recognizing isolated digits. In this architecture a single digit recognizer is replicated over the input. The output layer of the network is coupled to a Viterbi alignment module that chooses the best interpretation of the input. Training errors are propagated through the Viterbi module.
Neural Information Processing Systems
Dec-31-1992