Palmprint Classification
In today's world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism...
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| creator | Li Fang Leung, M.K.H. Shikhare, T. Chan, V. Kean Fatt Choon |
| description | In today's world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism in a palmprint database. An accurate and consistent classification can greatly reduce palmprint matching time for a large database. We propose a palmprint classification algorithm which is able to classify palmprints into ten evenly-distributed categories (1, 2, 3, 4, 6, A, B, C, D, and E). The algorithm uses a novel representation and is based on a two-stage classifier to make a classification. |
| doi_str_mv | 10.1109/ICSMC.2006.384569 |
| format | Conference Proceeding |
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The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism in a palmprint database. An accurate and consistent classification can greatly reduce palmprint matching time for a large database. We propose a palmprint classification algorithm which is able to classify palmprints into ten evenly-distributed categories (1, 2, 3, 4, 6, A, B, C, D, and E). The algorithm uses a novel representation and is based on a two-stage classifier to make a classification.</description><identifier>ISSN: 1062-922X</identifier><identifier>ISBN: 1424400996</identifier><identifier>ISBN: 9781424400997</identifier><identifier>EISSN: 2577-1655</identifier><identifier>EISBN: 1424401003</identifier><identifier>EISBN: 9781424401000</identifier><identifier>DOI: 10.1109/ICSMC.2006.384569</identifier><language>eng</language><publisher>IEEE</publisher><subject>Authentication ; Biometrics ; Costs ; Cybernetics ; Data security ; Electronic mail ; Fingerprint recognition ; Image databases ; Iris ; Spatial databases</subject><ispartof>2006 IEEE International Conference on Systems, Man and Cybernetics, 2006, Vol.4, p.2965-2969</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/4274333$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4274333$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li Fang</creatorcontrib><creatorcontrib>Leung, M.K.H.</creatorcontrib><creatorcontrib>Shikhare, T.</creatorcontrib><creatorcontrib>Chan, V.</creatorcontrib><creatorcontrib>Kean Fatt Choon</creatorcontrib><title>Palmprint Classification</title><title>2006 IEEE International Conference on Systems, Man and Cybernetics</title><addtitle>ICSMC</addtitle><description>In today's world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism in a palmprint database. An accurate and consistent classification can greatly reduce palmprint matching time for a large database. We propose a palmprint classification algorithm which is able to classify palmprints into ten evenly-distributed categories (1, 2, 3, 4, 6, A, B, C, D, and E). The algorithm uses a novel representation and is based on a two-stage classifier to make a classification.</description><subject>Authentication</subject><subject>Biometrics</subject><subject>Costs</subject><subject>Cybernetics</subject><subject>Data security</subject><subject>Electronic mail</subject><subject>Fingerprint recognition</subject><subject>Image databases</subject><subject>Iris</subject><subject>Spatial databases</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>1424400996</isbn><isbn>9781424400997</isbn><isbn>1424401003</isbn><isbn>9781424401000</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1js1KAzEURuMfOK3uFTe-QMab5N7cyVKGqoWWCiq4K5kkA5FplWY2vr0D6tl8iwMfR4hrBbVS4O6W7cu6rTWArU2DZN2RmCnUiKAAzLGoNDFLZYlO_gU4Z09FpcBq6bR-PxezUj4ANKBqKnH17Ifd1yHvx9t28KXkPgc_5s_9hTjr_VDS5d_OxdvD4rV9kqvN47K9X8msmEYZOXVOWzDUmBSpQ0hkTVAU2dpgOw_EIXgPjKmJTBGdcY45OdOZntHMxc3vb04pbaeSnT98b1FPauIHyY897A</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Li Fang</creator><creator>Leung, M.K.H.</creator><creator>Shikhare, T.</creator><creator>Chan, V.</creator><creator>Kean Fatt Choon</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200610</creationdate><title>Palmprint Classification</title><author>Li Fang ; Leung, M.K.H. ; Shikhare, T. ; Chan, V. ; Kean Fatt Choon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-d7eb92603583ed5b40e563c15d766c6ba057ccaa074e8d75d4939977e93b3f743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Authentication</topic><topic>Biometrics</topic><topic>Costs</topic><topic>Cybernetics</topic><topic>Data security</topic><topic>Electronic mail</topic><topic>Fingerprint recognition</topic><topic>Image databases</topic><topic>Iris</topic><topic>Spatial databases</topic><toplevel>online_resources</toplevel><creatorcontrib>Li Fang</creatorcontrib><creatorcontrib>Leung, M.K.H.</creatorcontrib><creatorcontrib>Shikhare, T.</creatorcontrib><creatorcontrib>Chan, V.</creatorcontrib><creatorcontrib>Kean Fatt Choon</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li Fang</au><au>Leung, M.K.H.</au><au>Shikhare, T.</au><au>Chan, V.</au><au>Kean Fatt Choon</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Palmprint Classification</atitle><btitle>2006 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2006-10</date><risdate>2006</risdate><volume>4</volume><spage>2965</spage><epage>2969</epage><pages>2965-2969</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>1424400996</isbn><isbn>9781424400997</isbn><eisbn>1424401003</eisbn><eisbn>9781424401000</eisbn><abstract>In today's world, biometrics system is used almost everywhere for the security and personal recognition. The palmprint is one of the most reliable physiological characteristics that can be used to distinguish between individuals. Palmprint classification provides an important indexing mechanism in a palmprint database. An accurate and consistent classification can greatly reduce palmprint matching time for a large database. We propose a palmprint classification algorithm which is able to classify palmprints into ten evenly-distributed categories (1, 2, 3, 4, 6, A, B, C, D, and E). The algorithm uses a novel representation and is based on a two-stage classifier to make a classification.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2006.384569</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2006 IEEE International Conference on Systems, Man and Cybernetics, 2006, Vol.4, p.2965-2969 |
| issn | 1062-922X 2577-1655 |
| language | eng |
| recordid | cdi_ieee_primary_4274333 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Authentication Biometrics Costs Cybernetics Data security Electronic mail Fingerprint recognition Image databases Iris Spatial databases |
| title | Palmprint Classification |
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