PT Unknown
AU Hongxing Gao
   Marçal Rusiñol
   Dimosthenis Karatzas
   Josep Llados
TI Fast Structural Matching for Document Image Retrieval through Spatial Databases
BT Document Recognition and Retrieval XXI
PY 2014
VL 9021
DI 10.1117/12.2042458
DE Document image retrieval; distance transform; MSER; spatial database
AB The structure of document images plays a signicant role in document analysis thus considerable eorts have been made towards extracting and understanding document structure, usually in the form of layout analysis approaches. In this paper, we rst employ Distance Transform based MSER (DTMSER) to eciently extract stable document structural elements in terms of a dendrogram of key-regions. Then a fast structural matching method is proposed to query the structure of document (dendrogram) based on a spatial database which facilitates the formulation of advanced spatial queries. The experiments demonstrate a signicant improvement in a document retrieval scenario when compared to the use of typical Bag of Words (BoW) and pyramidal BoW descriptors.
ER