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Communication Dans Un Congrès Année : 2016

Delaunay triangulation-based features for camera-based document image retrieval system

Résumé

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.
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Dates et versions

hal-01320491 , version 1 (02-06-2016)

Identifiants

  • HAL Id : hal-01320491 , version 1

Citer

Quoc Bao Dang, Marçal Mr Rusiñol, Mickaël Coustaty, Muhammad Muzzamil Luqman, de Tran Cao. Delaunay triangulation-based features for camera-based document image retrieval system. Document Analysis Systems, Apr 2016, Santorini, Greece. pp.1-6. ⟨hal-01320491⟩

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