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https://hdl.handle.net/1959.11/5584
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwan, Paul W H | en |
dc.contributor.author | Gao, Junbin | en |
dc.contributor.author | Leedham, Graham | en |
local.source.editor | Editor(s): Chen Hsinchun, Christopher C Yang, Michael Chau and L Shu-Hsing | en |
dc.date.accessioned | 2010-04-16T09:52:00Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2009, Bangkok, Thailand, April 27, 2009. Proceedings, p. 89-100 | en |
dc.identifier.isbn | 9783642013935 | en |
dc.identifier.isbn | 9783642013928 | en |
dc.identifier.isbn | 3642013937 | en |
dc.identifier.isbn | 3642013929 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/5584 | - |
dc.description.abstract | In recent years, law enforcement personnel have been greatly aided by the deployment of automated fingerprint identification systems (AFIS). These "black-box" systems largely operate by matching distinctive features automatically extracted from fingerprint images for their decisions. However, current systems have two major shortcomings. First, the identification result depends solely on the chosen features and the algorithm that matches them. Second, these systems cannot improve their results by benefiting from interactions with expert examiners who often can identify small differences between fingerprints. In this paper, we demonstrate by incorporating Relevance Feedback in a fingerprint identification system as an add-on module, a persistent semantic space over the database of fingerprints for an expert user can be incrementally learned. Here, the learning module makes use of a Dimensionality Reduction process that returns both a low-dimensional semantic space and an out-of-sample mapping function, achieving a two-fold benefits of data compression and the ability to project novel fingerprints directly onto the semantic space for identification. Experimental results demonstrated the potential of this user-centered framework for adaptive fingerprint identification. | en |
dc.language | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2009, Bangkok, Thailand, April 27, 2009. Proceedings | en |
dc.relation.ispartofseries | Lecture Notes in Computer Science | en |
dc.relation.isversionof | 1 | en |
dc.title | A User-Centered Framework for Adaptive Fingerprint Identification | en |
dc.type | Conference Publication | en |
dc.relation.conference | PAISI 2009: Intelligence and Security Informatics: Pacific Asia Workshop | en |
dc.identifier.doi | 10.1007/978-3-642-01393-5_10 | en |
dc.subject.keywords | Image Processing | en |
dc.subject.keywords | Neural, Evolutionary and Fuzzy Computation | en |
dc.subject.keywords | Pattern Recognition and Data Mining | en |
local.contributor.firstname | Paul W H | en |
local.contributor.firstname | Junbin | en |
local.contributor.firstname | Graham | en |
local.subject.for2008 | 080108 Neural, Evolutionary and Fuzzy Computation | en |
local.subject.for2008 | 080106 Image Processing | en |
local.subject.for2008 | 080109 Pattern Recognition and Data Mining | en |
local.subject.seo2008 | 890202 Application Tools and System Utilities | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | wkwan2@une.edu.au | en |
local.profile.email | cleedham@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20100414-163215 | en |
local.date.conference | 27th April, 2009 | en |
local.conference.place | Bangkok, Thailand | en |
local.publisher.place | Berlin, Germany | en |
local.identifier.totalchapters | 18 | en |
local.format.startpage | 89 | en |
local.format.endpage | 100 | en |
local.identifier.scopusid | 67649992836 | en |
local.series.issn | 1611-3349 | - |
local.series.issn | 0302-9743 | - |
local.series.number | 5477 | en |
local.contributor.lastname | Kwan | en |
local.contributor.lastname | Gao | en |
local.contributor.lastname | Leedham | en |
local.seriespublisher | Springer | en |
local.seriespublisher.place | Berlin, Germany | en |
dc.identifier.staff | une-id:wkwan2 | en |
dc.identifier.staff | une-id:cleedham | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:5716 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | A User-Centered Framework for Adaptive Fingerprint Identification | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.relation.url | http://trove.nla.gov.au/work/36729392 | en |
local.relation.url | https://link.springer.com/book/10.1007/978-3-642-01393-5#about | en |
local.conference.details | PAISI 2009: Intelligence and Security Informatics: Pacific Asia Workshop, Bangkok, Thailand, 27th April, 2009 | en |
local.search.author | Kwan, Paul W H | en |
local.search.author | Gao, Junbin | en |
local.search.author | Leedham, Graham | en |
local.uneassociation | Unknown | en |
local.atsiresearch | No | en |
local.isrevision | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2009 | en |
local.date.start | 2009-04-27 | - |
local.profile.affiliationtype | Unknown | en |
local.profile.affiliationtype | Unknown | en |
local.profile.affiliationtype | Unknown | en |
Appears in Collections: | Conference Publication School of Science and Technology |
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