Active Document Layout Synthesis
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Using grammars for pattern recognition in images: A systematic review
ACM Computing Surveys (CSUR)
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Image segmentation is an important component of any document image analysis system. While many segmentation algorithms exist in the literature, very few i) allow users to specify the physical style, and ii) incorporate user-specified style information into the algorithm's objective function that is to be minimized. We describe a segmentation algorithm that models a document's physical structure as a hierarchical structure where each node describes a region of the document using a stochastic regular grammar. The exact form of the hierarchy and the stochastic language is specified by the user, while the probabilities associated with the transitions are estimated from groundtruth data. We demonstrate the segmentation algorithm on images of bilingual dictionaries.