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Reseach Article

A Methodology for Sketch based Image Retrieval based on Score level Fusion

by Y.jhansi, E.sreenivasa Reddy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 3
Year of Publication: 2015
Authors: Y.jhansi, E.sreenivasa Reddy

Y.jhansi, E.sreenivasa Reddy . A Methodology for Sketch based Image Retrieval based on Score level Fusion. International Journal of Computer Applications. 109, 3 ( January 2015), 9-13. DOI=10.5120/19167-0629

@article{ 10.5120/19167-0629,
author = { Y.jhansi, E.sreenivasa Reddy },
title = { A Methodology for Sketch based Image Retrieval based on Score level Fusion },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 3 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { },
doi = { 10.5120/19167-0629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:43:48.829113+05:30
%A Y.jhansi
%A E.sreenivasa Reddy
%T A Methodology for Sketch based Image Retrieval based on Score level Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 3
%P 9-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

Retrieving sketches to match with a hand drawn sketch query is highly desired feature. This paper proposes a novel methodology for efficient retrieval of sketch based images. This system extracts features from the query sketch, HOG and GMM features are used and these features are combined using score level fusion which can match user drawn sketch with database sketches efficiently. The methodology is tested on bench mark images and the performance evaluation is carried out using metrics like Precession and Recall. The results derived are tested for efficiency against models based on HOG and GMM.

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Index Terms

Computer Science
Information Sciences


HOG GMM Sketch based images fusion performance evaluation.