@InProceedings{Q.Bao2016,
author="Q. Bao
and Mar{\c{c}}al Rusi{\~n}ol
and M.Coustaty
and Muhammad Muzzamil Luqman
and C.D. Tran
and Jean-Marc Ogier",
title="Delaunay triangulation-based features for Camera-based document image retrieval system",
booktitle="12th IAPR Workshop on Document Analysis Systems",
year="2016",
pages="1--6",
optkeywords="Camera-based Document Image Retrieval",
optkeywords="Delaunay Triangulation",
optkeywords="Feature descriptors",
optkeywords="Indexing",
abstract="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.",
optnote="DAG; 600.061; 600.084; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2757), last updated on Mon, 07 Nov 2016 13:43:56 +0100",
doi="10.1109/DAS.2016.66",
file=":http://refbase.cvc.uab.es/files/DRC2016.pdf:PDF"
}