TY  - CONF
AU  - Hongxing Gao
AU  - Marçal Rusiñol
AU  - Dimosthenis Karatzas
AU  - Josep Llados
AU  - Tomokazu Sato
AU  - Masakazu Iwamura
AU  - Koichi Kise
A2  - ICDAR
PY  - 2013//
TI  - Key-region detection for document images -applications to administrative document retrieval
BT  - 12th International Conference on Document Analysis and Recognition
SP  - 230
EP  - 234
N2  - In this paper we argue that a key-region detector designed to take into account the special characteristics of document images can result in the detection of less and more meaningful key-regions. We propose a fast key-region detector able to capture aspects of the structural information of the document, and demonstrate its efficiency by comparing against standard detectors in an administrative document retrieval scenario. We show that using the proposed detector results to a smaller number of detected key-regions and higher performance without any drop in speed compared to standard state of the art detectors.
SN  - 1520-5363
L1  - http://refbase.cvc.uab.es/files/GRK2013b.pdf
UR  - http://dx.doi.org/10.1109/ICDAR.2013.53
N1  - DAG; 600.056; 600.045
ID  - Hongxing Gao2013
ER  -