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Printed Chinese Character Recognition This project is no longer active. Head: Robert H. Thibadeau Contact: Robert H. Thibadeau (rht@cs.cmu.edu) Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Associated lab/group: Internet Systems Lab For more information, see this project's homepage.

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Project Description

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.

Past members

	Name	Title	Email Address
	Robert H. Thibadeau	Adjunct Faculty, MLD	rht@cs.cmu.edu

Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Optical Chinese Character Recognition using Probabilistic Neural Networks
  R. Romero, D. Touretzky, and R.H. Thibadeau
  1996. [Abstract]
  Download: pdf [84 KB], ps.gz [112 KB] copyrighted

• Neural Network Classifiers for Optical Chinese Character Recognition
  R. Romero, R.W. Berger, R.H. Thibadeau, and D.S. Touretzky
  1995. [Abstract]
  Download: pdf [98 KB], ps.gz [119 KB] copyrighted