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Trademark Image Retrieval Using Hierarchical Region Feature Description

Abstract: 

A novel trademark image retrieval(TIR) method is proposed in this work. The proposed approach commences with region partitioning through rotationally capturing multi-level regions of an image in a hierarchical manner, and then an effective region measurement is used as shape description of the regions generated from region partitioning stage. A shifting feature matching strategy is used to evaluate the similarity between the query and database images. The experimental results on the standard shape databases demonstrate its superiority performance over the state-of-the-art approaches.

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Paper Details

Authors:
Feng Liu,Bin Wang,Fanqing Zeng
Submitted On:
15 September 2017 - 7:45am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Feng Liu
Paper Code:
3209
Document Year:
2017
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Document Files

paper3209_poster.pdf

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[1] Feng Liu,Bin Wang,Fanqing Zeng, "Trademark Image Retrieval Using Hierarchical Region Feature Description", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2127. Accessed: Jul. 22, 2018.
@article{2127-17,
url = {http://sigport.org/2127},
author = {Feng Liu;Bin Wang;Fanqing Zeng },
publisher = {IEEE SigPort},
title = {Trademark Image Retrieval Using Hierarchical Region Feature Description},
year = {2017} }
TY - EJOUR
T1 - Trademark Image Retrieval Using Hierarchical Region Feature Description
AU - Feng Liu;Bin Wang;Fanqing Zeng
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2127
ER -
Feng Liu,Bin Wang,Fanqing Zeng. (2017). Trademark Image Retrieval Using Hierarchical Region Feature Description. IEEE SigPort. http://sigport.org/2127
Feng Liu,Bin Wang,Fanqing Zeng, 2017. Trademark Image Retrieval Using Hierarchical Region Feature Description. Available at: http://sigport.org/2127.
Feng Liu,Bin Wang,Fanqing Zeng. (2017). "Trademark Image Retrieval Using Hierarchical Region Feature Description." Web.
1. Feng Liu,Bin Wang,Fanqing Zeng. Trademark Image Retrieval Using Hierarchical Region Feature Description [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2127