TY  - CONF
AU  - Q. Bao
AU  - Marçal Rusiñol
AU  - M.Coustaty
AU  - Muhammad Muzzamil Luqman
AU  - C.D. Tran
AU  - Jean-Marc Ogier
A2  - DAS
PY  - 2016//
TI  - Delaunay triangulation-based features for Camera-based document image retrieval system
BT  - 12th IAPR Workshop on Document Analysis Systems
SP  - 1
EP  - 6
KW  - Camera-based Document Image Retrieval
KW  - Delaunay Triangulation
KW  - Feature descriptors
KW  - Indexing
N2  - In this paper, we propose a new feature vector, named DElaunay TRIangulation-based Features (DETRIF), for real-time camera-based document image retrieval. DETRIF is computed based on the geometrical constraints from each pair of adjacency triangles in delaunay triangulation which is constructed from centroids of connected components. Besides, we employ a hashing-based indexing system in order to evaluate the performance of DETRIF and to compare it with other systems such as LLAH and SRIF. The experimentation is carried out on two datasets comprising of 400 heterogeneous-content complex linguistic map images (huge size, 9800 X 11768 pixels resolution)and 700 textual document images.
L1  - http://refbase.cvc.uab.es/files/DRC2016.pdf
UR  - http://dx.doi.org/10.1109/DAS.2016.66
N1  - DAG; 600.061; 600.084; 600.077
ID  - Q. Bao2016
ER  -