Printed Chinese Character Recognition - Robotics Institute Carnegie Mellon University
Graphical depiction of the Printed Chinese Character Recognition project
Printed Chinese Character Recognition
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Using a mix of distortion modeling, statistical analysis, and neural network training, we are currently working on an omnifont Chinese character classifier. To date, a working model and GUI front-end have been created that operates using a generic classifier. Currently, the available classifiers are all varients of a single font classifier for the simplified SongTi character set.

Displaying 2 Publications

1996
Optical Chinese Character Recognition using Probabilistic Neural Networks
Richard Romero, David Touretzky, and Robert H. Thibadeau
Miscellaneous, 1996
1995
Neural Network Classifiers for Optical Chinese Character Recognition
Richard Romero, Robert W. Berger, Robert H. Thibadeau, and David S. Touretzky
Miscellaneous, 1995

past head

  • Robert H. Thibadeau

past contact

  • Robert H. Thibadeau