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A syntax-directed method for numerical field extraction using classifier combination

In this article, we propose a method for the automatic extraction of numerical fields in handwritten documents. The method exploits the syntax of a numerical field as an a priori knowledge to extract the connected component sequences from the document. For that, we have to label the connected components as "belonging to a numerical field" or not. We propose a method for discriminating the connected components, using different families of features and a combination of classifiers. A comparison between the results obtained with the combination of classifiers and our first approach (Koch, G, et al., 2003) demonstrates the utility of combining different feature sets for discriminating classes with large intra-class variability.