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Browsing graphics without prior knowledge

Daniel Zuwala 1 Jan Rendek 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions potentially embedding a symbol, using an unsupervised reconstruction of the documents from their representation as chain of points. The method is complemented by a querying mechanism that retrieves from these regions those that are the most similar to a given input symbol. This mechanism uses a specific user feedback scheme to improve the accuracy of the retrieval.
Keywords : symbol recognition
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https://hal.inria.fr/inria-00078450
Contributor : Daniel Zuwala <>
Submitted on : Tuesday, June 6, 2006 - 11:57:38 AM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM
Long-term archiving on: : Monday, April 5, 2010 - 10:20:12 PM

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  • HAL Id : inria-00078450, version 1

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Daniel Zuwala, Jan Rendek. Browsing graphics without prior knowledge. International Conference on Pattern Recognition 2006 - ICPR 2006, Aug 2006, Hong Kong (China). ⟨inria-00078450⟩

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