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Communication Dans Un Congrès Année : 2013

Spot it! Finding words and patterns in historical documents

Pierrick Tranouez
Stéphane Nicolas
Laurent Heutte

Résumé

We propose a system designed to spot either words or patterns, based on a user made query. Employing a two stage approach, it takes advantage of the descriptive power of the Bag of Visual Words (BOVW) representation and the discriminative power of the proposed Longest Weighted Profile (LWP) algorithm. First, we try to identify the zones of images that share common characteristics with the query as summed up in a BOVW. Then, we filter these zones using the LWP introducing spatial constraints extracted from the query. We have validated our system on the George Washington handwritten document database for word spotting, and medieval manuscripts from the DocExplore project for pattern spotting.
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Dates et versions

hal-00939950 , version 1 (31-01-2014)

Identifiants

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Vladislavs Dovgalecs, Alexandre Burnett, Pierrick Tranouez, Stéphane Nicolas, Laurent Heutte. Spot it! Finding words and patterns in historical documents. ICDAR, Aug 2013, United States. pp 1039-1043, ⟨10.1109/ICDAR.2013.208⟩. ⟨hal-00939950⟩
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