Content features for logical document labeling

The use of content feature extracted from recognized text is valuable in labeling logical elements in documents without rigid layout structure, like business letters. This paper discusses a model-based approach to combining content features with other geometrical and presentation features for logical labeling. Models are automatically initialized and adaptively improved using training samples. Satisfactory experiment results are presented.

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