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Performance Comparison of Several Pre-Processing Methods in a Hand Gesture Recognition System based on Nearest Neighbor for Different Background Conditions

Journal of ICT Research and Applications (JICTRA) · Vol. 6 No. 3 (2013) · pp. 183–194

DOI
10.5614/itbj.ict.2012.6.3.1
ISSN
2338-5499, 2337-5787
Published
2013-09-13
Publisher
DRI - ITB
Language
eng

Abstract

This paper presents a performance analysis and comparison of several pre-processing methods used in a hand gesture recognition system. The preprocessing methods are based on the combinations ofseveral image processing operations, namely edge detection, low pass filtering, histogram equalization, thresholding and desaturation. The hand gesture recognition system is designed to classify an input image into one of six possibleclasses. The input images are taken with various background conditions. Our experiments showed that the best result is achieved when the pre-processing method consists of only a desaturation operation, achieving a classification accuracy of up to 83.15%.

Collaboration network of the authors

25 authors · 70 co-authorship links · 15 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Satya Wacana Christian University
  • Universitas Raharja
  • Universitas Sains dan Teknologi Komputer
  • Mercu Buana University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Irwan SembiringSatya Wacana Christian University2
Andreas Ardian FebriantoSatya Wacana Christian University2
Untung RahardjaUniversitas Raharja1
Ninda LutfianiUniversitas Raharja1
Adi SetiawanSatya Wacana Christian University1
Sulistio SulistioUniversitas Raharja1
Septian AbednegoSatya Wacana Christian University1
Gunawan DewantoroSatya Wacana Christian University1
Theophilus WellemAffiliation unknown1
HenderiAffiliation unknown1
Ignatius Agus SupriyonoAffiliation unknown1
Ilham HizbulohAffiliation unknown1
Adi SetiawanAffiliation unknown1
Hindriyanto Dwi PurnomoSatya Wacana Christian University1
Danny ManonggaSatya Wacana Christian University1
Joseph Teguh SantosoUniversitas Sains dan Teknologi Komputer1
HendryAffiliation unknown1
Mudrik AlaydrusMercu Buana University1
Rizky Citra RamadhanAffiliation unknown1
Ahmad Syadidu RosyadiAffiliation unknown1
Muzammil JusohAffiliation unknown1
Vidya HermantoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Oct 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Performance Comparison of Several Pre-Processing Methods in a Hand Gesture Recognition System based on Nearest Neighbor for Different Background Conditions</dc:title>
	<dc:creator>Lionnie, Regina</dc:creator>
	<dc:creator>Timotius, Ivanna K.</dc:creator>
	<dc:creator>Setyawan, Iwan</dc:creator>
	<dc:description xml:lang="en-US">This paper presents a performance analysis and comparison of several pre-processing  methods  used  in  a  hand  gesture  recognition  system.  The  preprocessing methods are based on the combinations ofseveral image processing operations,  namely  edge  detection,  low  pass  filtering,  histogram  equalization, thresholding and desaturation. The hand gesture recognition system is designed to classify an input image into one of six possibleclasses. The input images are taken with various background conditions. Our experiments showed that the best result is achieved when the pre-processing method consists of only a desaturation operation, achieving a classification accuracy of up to 83.15%.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2013-09-13</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/228</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.2012.6.3.1</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 6 No. 3 (2012); 183-194</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/228/222</dc:relation>
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