Detected text‐based image retrieval approach for textual images-Reference-Cited by-同舟云学术

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Detected text‐based image retrieval approach for textual images

Published:2019-01-31 Issue:3 Volume:13 Page:515-521
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Unar Salahuddin¹,Wang Xingyuan¹²,Zhang Chuan¹,Wang Chunpeng³

Affiliation:

1. Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalian116024People's Republic of China

2. School of Information Science and Technology, Dalian Maritime UniversityDalian116026People's Republic of China

3. School of Information, Qilu University of TechnologyShandong250353People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5277

Reference42 articles.

1. The method for image retrieval based on multi‐factors correlation utilizing block truncation coding;Wang X.;Pattern Recognit.,2014

2. New content‐based image retrieval system based on optimised integration of DCD, wavelet and curvelet features

3. Semantic content-based image retrieval: A comprehensive study

4. A hierarchal BoW for image retrieval by enhancing feature salience;Jiang F.;Neurocomputing,2016

5. A hybrid approach for content‐based image retrieval based on fast beta wavelet network and fuzzy decision support system;ElAdel A.;Mach. Vis. Appl.,2016

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