loading...
A Method for Document Zone Content Classification
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104782816th International Conference on Patt ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Yalin Wang, University of Washington
Ihsin T. Phillips, City University of New York
Robert M. Haralick, City University of New York
This paper describes an algorithm to classify each given document zone into one of nine classes and provides a protocol for its performance evaluation. The classification scheme uses an optimized binary decision tree and Viterbi algorithm for HMM to find the optimal solution. Our algorithm was trained and tested on a total of 24,177 zones within the 1600 images from UWCDROM III database. Its accuracy rate is 98.45% with a mean false alarm rate of 0.50%
Citation:
Yalin Wang, Ihsin T. Phillips, Robert M. Haralick, "A Method for Document Zone Content Classification," icpr, vol. 3, pp.30196, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
Usage of this product signifies your acceptance of the Terms of Use.