A systolic neural network architecture for hidden Markov models

1989 ◽  
Vol 37 (12) ◽  
pp. 1967-1979 ◽  
Author(s):  
J.-N. Hwang ◽  
J.A. Vlontzos ◽  
S.-Y. Kung
Keyword(s):  
Neural Network ◽  
Hidden Markov Models ◽  
Network Architecture ◽  
Markov Models ◽  
Hidden Markov ◽  
Neural Network Architecture

Metal Label Pressed Protuberant Characters Recognition Based on Hidden Markov Model

2011 ◽  
Vol 187 ◽  
pp. 667-671
Author(s):  
Wei Chen
Keyword(s):  
Neural Network ◽  
Markov Model ◽  
Hidden Markov Models ◽  
State Transition ◽  
Markov Models ◽  
Hidden Markov ◽  
Shape Index ◽  
Surface Curvature ◽  
Word Choice ◽  
Recognition Method

A recognition method of pressed protuberant characters based on Hidden Markov models and Neural Network is applied, which the surface curvature properties and the relation of metal label characters are analyzed in detail. The shape index of the characters is extracted. A neural network is used to estimate probabilities for the characters depended on the surface curvature properties, then deriving the best word choice from a sequence of state transition. It is shown in test that the proposed method can be used to recognize the pressed protuberant on metal label.

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