Eighth International Conference on Document Analysis and Recognition (ICDAR'05) Handwritten Document Segmentation Using Hidden Markov Random Fields Seoul, Korea August 31-September 01 ISBN: 0-7695-2420-6
In this paper we present a method based on Hidden Markov Random Fields and 2D dynamic programming image decoding, for segmenting pages of complex handwritten manuscripts such as novelist drafts. After a formal description of the theoretical framework and the principles of the decoding method, we describe the implementation of the model and the decoding method. Then we discuss the results obtained with this approach on the drafts of the French novelist Gustave Flaubert.
Citation:
Stephane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte, "Handwritten Document Segmentation Using Hidden Markov Random Fields," icdar, pp.212-216, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||