PT Unknown
AU Hongxing Gao
   Marçal Rusiñol
   Dimosthenis Karatzas
   Josep Llados
TI Embedding Document Structure to Bag-of-Words through Pair-wise Stable Key-regions
BT 22nd International Conference on Pattern Recognition
PY 2014
BP 2903
EP 2908
DI 10.1109/ICPR.2014.500
AB Since the document structure carries valuable discriminative information, plenty of efforts have been made for extracting and understanding document structure among which layout analysis approaches are the most commonly used. In this paper, Distance Transform based MSER (DTMSER) is employed to efficiently extract the document structure as a dendrogram of key-regions which roughly correspond to structural elements such as characters, words and paragraphs. Inspired by the Bagof Words (BoW) framework, we propose an efficient method for structural document matching by representing the document image as a histogram of key-region pairs encoding structural relationships.Applied to the scenario of document image retrieval, experimental results demonstrate a remarkable improvement when comparing the proposed method with typical BoW and pyramidal BoW methods.
ER