The nature of statistical learning theory
The nature of statistical learning theory
1-Dimensional and Pseudo 2-Dimensional HMMs for the Recognition of German Literal Amounts
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Off-line handwritten word recognition using a mixed HMM-MRF approach
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
A hybrid radial basis function network/hidden Markov model handwritten word recognition system
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Handwriting Recognition Using Local Methods for Normalization and Global Methods for Recognition
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
An HMMRF-Based Statistical Approach for Off-Line Handwritten Character Recognition
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Human reading based strategies for off-line Arabic word recognition
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
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In this paper, an idea for the combination of global andlocal view models is presented. These two type of modelshave proved their capabilities independantly. Some combinationwere proposed, using global view models for localanalysis, and local view models to synthetize local results.An opposite approach is proposed here : local view modelsare used as a normalization tool, while global view modelsare used for the recognition of the normalized image.The use of local view models for normalization is justifiedby their capability to perform a non-linear normalizationaccording to the image information. We propose Markovmodels as local view models, and Neural Netwok as globalview models. Using Markov models for the normalizationincreases results up to 3% better than a classical linearnormalization. Global results are improved, performing2% better than the Markov model itself. The extension ofthe system to an analytic approach is discussed.