Stochastic language model for analyzing document physical layout

Tapas Kanungo; Song Mao

doi:10.1117/12.450736

18 December 2001 Stochastic language model for analyzing document physical layout

Tapas Kanungo, Song Mao

Proceedings Volume 4670, Document Recognition and Retrieval IX; (2001) https://doi.org/10.1117/12.450736
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

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.

Citation Download Citation

Tapas Kanungo and Song Mao "Stochastic language model for analyzing document physical layout", Proc. SPIE 4670, Document Recognition and Retrieval IX, (18 December 2001); https://doi.org/10.1117/12.450736

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