ROI-Based Fingerprint Quality Estimation
The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based finge...
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creator | Shan Juan Xie Ju Cheng Yang Sook Yoon Dong Sun Park |
description | The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition system, we proposed to design a ROI-based quality estimation system that no one has proposed before. The target of our proposed quality estimation system is the ROI instead of the whole fingerprint. And the determined ROI information is also useful for the latter recognition system. Computational complexity reduction and fingerprint matching performance improvement are shown in the experimental part. |
doi_str_mv | 10.1109/ICMeCG.2009.117 |
format | Conference Proceeding |
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The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition system, we proposed to design a ROI-based quality estimation system that no one has proposed before. The target of our proposed quality estimation system is the ROI instead of the whole fingerprint. And the determined ROI information is also useful for the latter recognition system. Computational complexity reduction and fingerprint matching performance improvement are shown in the experimental part.</description><identifier>ISBN: 9780769537788</identifier><identifier>ISBN: 0769537782</identifier><identifier>DOI: 10.1109/ICMeCG.2009.117</identifier><identifier>LCCN: 2009905200</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computational complexity ; Conference management ; Feature extraction ; Financial management ; fingerprint ; Fingerprint recognition ; Image matching ; Image recognition ; NIST ; Phase estimation ; quality estimation ; Quality management ; recognition system ; ROI</subject><ispartof>2009 International Conference on Management of e-Commerce and e-Government, 2009, p.460-464</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5280073$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5280073$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shan Juan Xie</creatorcontrib><creatorcontrib>Ju Cheng Yang</creatorcontrib><creatorcontrib>Sook Yoon</creatorcontrib><creatorcontrib>Dong Sun Park</creatorcontrib><title>ROI-Based Fingerprint Quality Estimation</title><title>2009 International Conference on Management of e-Commerce and e-Government</title><addtitle>ICMECG</addtitle><description>The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition system, we proposed to design a ROI-based quality estimation system that no one has proposed before. The target of our proposed quality estimation system is the ROI instead of the whole fingerprint. And the determined ROI information is also useful for the latter recognition system. Computational complexity reduction and fingerprint matching performance improvement are shown in the experimental part.</description><subject>Computational complexity</subject><subject>Conference management</subject><subject>Feature extraction</subject><subject>Financial management</subject><subject>fingerprint</subject><subject>Fingerprint recognition</subject><subject>Image matching</subject><subject>Image recognition</subject><subject>NIST</subject><subject>Phase estimation</subject><subject>quality estimation</subject><subject>Quality management</subject><subject>recognition system</subject><subject>ROI</subject><isbn>9780769537788</isbn><isbn>0769537782</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjkFLAzEUhANSUOuePXjZo5etL8m-ZHPUpa0LlaLouYTkRSLtKpv00H9vpM7lgxkYPsZuOSw4B_Mw9C_UrxcCwJRCX7DK6A60Mii17roZu_6bDGDBJatS-oISFMoodcXu37ZD82QT-XoVx0-afqY45vr1aPcxn-plyvFgc_web9gs2H2i6p9z9rFavvfPzWa7HvrHTRO5xty4NnhwhNgp5ZVzgDaAa50FKSyFAEo7ouItFPpCsq1DLbjgyMkEL-fs7vwbiWhXbA52Ou1QdABayl--N0GV</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Shan Juan Xie</creator><creator>Ju Cheng Yang</creator><creator>Sook Yoon</creator><creator>Dong Sun Park</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200909</creationdate><title>ROI-Based Fingerprint Quality Estimation</title><author>Shan Juan Xie ; Ju Cheng Yang ; Sook Yoon ; Dong Sun Park</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c4fd0ce55866d6cc05af0c4ca032aeff067cee109265de10ea4c57212151e9fd3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Computational complexity</topic><topic>Conference management</topic><topic>Feature extraction</topic><topic>Financial management</topic><topic>fingerprint</topic><topic>Fingerprint recognition</topic><topic>Image matching</topic><topic>Image recognition</topic><topic>NIST</topic><topic>Phase estimation</topic><topic>quality estimation</topic><topic>Quality management</topic><topic>recognition system</topic><topic>ROI</topic><toplevel>online_resources</toplevel><creatorcontrib>Shan Juan Xie</creatorcontrib><creatorcontrib>Ju Cheng Yang</creatorcontrib><creatorcontrib>Sook Yoon</creatorcontrib><creatorcontrib>Dong Sun Park</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shan Juan Xie</au><au>Ju Cheng Yang</au><au>Sook Yoon</au><au>Dong Sun Park</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>ROI-Based Fingerprint Quality Estimation</atitle><btitle>2009 International Conference on Management of e-Commerce and e-Government</btitle><stitle>ICMECG</stitle><date>2009-09</date><risdate>2009</risdate><spage>460</spage><epage>464</epage><pages>460-464</pages><isbn>9780769537788</isbn><isbn>0769537782</isbn><abstract>The fingerprint quality is considered as a good predictor for fingerprint recognition performance and knowing the fingerprint quality in advance is useful to improve the fingerprint recognition performance. The existing fingerprint quality estimation systems are all designed for minutiae-based fingerprint recognition system. But with the obvious advantage and widespread of ROI-based fingerprint recognition system, we proposed to design a ROI-based quality estimation system that no one has proposed before. The target of our proposed quality estimation system is the ROI instead of the whole fingerprint. And the determined ROI information is also useful for the latter recognition system. Computational complexity reduction and fingerprint matching performance improvement are shown in the experimental part.</abstract><pub>IEEE</pub><doi>10.1109/ICMeCG.2009.117</doi><tpages>5</tpages></addata></record> |
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ispartof | 2009 International Conference on Management of e-Commerce and e-Government, 2009, p.460-464 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computational complexity Conference management Feature extraction Financial management fingerprint Fingerprint recognition Image matching Image recognition NIST Phase estimation quality estimation Quality management recognition system ROI |
title | ROI-Based Fingerprint Quality Estimation |
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