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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EEQDE8
Repositorysid.inpe.br/sibgrapi/2013/07.12.20.34
Last Update2013:07.12.20.34.53 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.12.20.34.53
Metadata Last Update2022:06.14.00.07.52 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.56
Citation KeyWangRamoFierKris:2013:ToReFu
TitleTowards Regional Fusion for High-Resolution Palmprint Recognition
FormatOn-line.
Year2013
Access Date2024, May 02
Number of Files1
Size1590 KiB
2. Context
Author1 Wang, Ruifang
2 Ramos, Daniel
3 Fierrez, Julian
4 Krish, Ram P.
Affiliation1 Universidad Autonoma de Madrid
2 Universidad Autonoma de Madrid
3 Universidad Autonoma de Madrid
4 Universidad Autonoma de Madrid
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressruifang.wang@uam.es
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-12 20:34:53 :: ruifang.wang@uam.es -> administrator ::
2022-06-14 00:07:52 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsHigh resolution palmprints
regional fusion
AbstractThe existing high resolution palmprint matching algorithms essentially follow the minutiae-based fingerprint matching strategy and focus on full-to-full/partial-to-full palmprint comparison. These algorithms would face problems when they are applied to forensic palmprint recognition where latent marks have much smaller area than full palmprints. Therefore, towards forensic scenarios, we propose a novel matching strategy based on regional fusion for high resolution palmprint recognition using regions segmented by major creases features. The matching strategy includes two stages: 1) region-to-region palmprint comparison; 2) regional fusion at score level. We first studied regional discriminability of a high resolution palmprint under the concept of three regions, i.e., interdigital, hypothenar and thenar, which is the most significant difference between palmprits and fingerprints. Then we implemented regional fusion based on logistic regression at score level using region-to-region comparison scores obtained by a commercial SDK, MegaMatcher 4.0. Significant improvement of recognition accuracy is achieved by regional fusion on a public high resolution palmprint database THUPALMLAB. The EER of logistic regression based regional fusion is 0.25%, while the EER of full-to-full palmprint comparison is 1%.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EEQDE8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EEQDE8
Languageen
Target FileCamera_Ready_Towards Regional Fusion for High Resolution Palmprint Recognition.pdf
User Groupruifang.wang@uam.es
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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