Segmentation of page images using the area Voronoi diagram
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
A vector space model for automatic indexing
Communications of the ACM
Digital Image Processing
The Document Spectrum for Page Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
A Graphics Image Processing System
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
IBM Journal of Research and Development
Patent images - a glass-encased tool: opening the case
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
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Patent document images maintained by the U.S. patent database have a specific format, in which figures and text descriptions are separated into different sections. This makes it difficult for users to refer to a figure while reading the description or vice versa. This paper introduces a method to associate figures with corresponding description paragraphs, and thus help to make patent documents more friendly for users to browse. In this method, after extracting individual figures out of the drawing section, figures and relevant descriptions are associated by evaluating the similarity between the text content of figures and description paragraphs using vector space model.