Efficient logo retrieval through hashing shape context descriptors
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Categorization of camera captured documents based on logo identification
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Classification of administrative document images by logo identification
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
A parts-based multi-scale method for symbol recognition
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Visual saliency and terminology extraction for document annotation
Proceedings of the 2013 ACM symposium on Document engineering
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In this paper we present a method for document categorization which processes incoming document images such as invoices or receipts. The categorization of these document images is done in terms of the presence of a certain graphical logo detected without segmentation. The graphical logos are described by a set of local features and the categorization of the documents is performed by the use of a bag-of-words model. Spatial coherence rules are added to reinforce the correct category hypothesis, aiming also to spot the logo inside the document image. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented.