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

被引：4

作者：

Dang, Q. B. ^{[1
]}

Rusinol, M. ^{[2
]}

Coustaty, M. ^{[1
]}

Luqman, M. M. ^{[1
]}

Tran, C. D. ^{[3
]}

Ogier, J-M. ^{[1
]}

机构：

[1] Univ La Rochelle, L3i Lab, La Rochelle, France

[2] Univ Autonoma Barcelona, CVC, E-08193 Barcelona, Spain

[3] Can Tho Univ, Coll Informat & Commun Technol, Can Tho, Vietnam

来源：

PROCEEDINGS OF 12TH IAPR WORKSHOP ON DOCUMENT ANALYSIS SYSTEMS, (DAS 2016) | 2016年

关键词：

Camera-based Document Image Retrieval; Delaunay Triangulation; feature descriptors; indexing; EFFICIENT;

D O I：

10.1109/DAS.2016.66

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1 / 6

页数：6

共 50 条

[1] A comparison of local features for camera-based document image retrieval and spotting
Quoc Bao Dang
Mickaël Coustaty
Muhammad Muzzamil Luqman
Jean-Marc Ogier
[J]. International Journal on Document Analysis and Recognition (IJDAR), 2019, 22 : 247 - 263
[2] A comparison of local features for camera-based document image retrieval and spotting
Quoc Bao Dang
Coustaty, Mickael
Luqman, Muhammad Muzzamil
Ogier, Jean-Marc
[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019, 22 (03) : 247 - 263
[3] SRIF: Scale and Rotation Invariant Features for Camera-Based Document Image Retrieval
Dang, Q. B.
Luqman, M. M.
Coustaty, M.
Tran, C. D.
Ogier, J. M.
[J]. 2015 13TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2015, : 601 - 605
[4] Polygon-shape-based Scale and Rotation Invariant Features for Camera-Based Document Image Retrieval
Dang, Q. B.
Coustaty, M.
Luqman, M. M.
Ogier, J. M.
Tran, C. D.
[J]. 2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 2434 - 2439
[5] Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features
Haefner, M.
Gangl, A.
Liedlgruber, M.
Uhl, A.
Vecsei, A.
Wrba, F.
[J]. IMAGE ANALYSIS AND RECOGNITION, 2010, PT II, PROCEEDINGS, 2010, 6112 : 131 - +
[6] Camera-based document image mosaicing
Liang, Han
DeMenthon, Daniel
Doermann, David
[J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2006, : 476 - +
[7] Camera-based Document Image Retrieval System using Local Features - comparing SRIF with LLAH, SIFT, SURF and ORB
Dang, Q. B.
Le, V. P.
Luqman, M. M.
Coustaty, M.
Tran, C. D.
Ogier, J-M.
[J]. 2015 13TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2015, : 1211 - 1215
[8] Shape image retrieval based on corner Delaunay triangulation
Hong, Zhiling
Jiang, Qingshan
Zhou, Changle
Wu, Meihong
[J]. Journal of Computational Information Systems, 2007, 3 (05): : 1861 - 1866
[9] Camera-based document image retrieval as voting for partial signatures of projective invariants
Nakai, T
Kise, K
Iwamura, M
[J]. EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS, 2005, : 379 - 383
[10] Progress in camera-based document image analysis
Doermann, D
Liang, T
Li, HP
[J]. SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 606 - 616

← 1 2 3 4 5 →