A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features
This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine...
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| creator | You, Jane Kong, Wai-Kin Zhang, David Cheung, King Hong |
| description | This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by coarse-to-fine guided search. Our experimental results demonstrate the feasibility and effectiveness of the proposed method. |
| doi_str_mv | 10.1007/978-3-540-25948-0_100 |
| format | Book Chapter |
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To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by coarse-to-fine guided search. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540221463</identifier><identifier>ISBN: 3540221468</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540259480</identifier><identifier>EISBN: 3540259481</identifier><identifier>DOI: 10.1007/978-3-540-25948-0_100</identifier><identifier>OCLC: 934980641</identifier><identifier>LCCallNum: Q337.5</identifier><language>eng</language><publisher>Germany: Springer Berlin / Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Exact sciences and technology ; False Rejection Rate ; Palmprint Image ; Pattern recognition. Digital image processing. 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To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by coarse-to-fine guided search. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>False Rejection Rate</subject><subject>Palmprint Image</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Personal Identification</subject><subject>Principal Line</subject><subject>Texture Energy</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540221463</isbn><isbn>3540221468</isbn><isbn>9783540259480</isbn><isbn>3540259481</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2004</creationdate><recordtype>book_chapter</recordtype><recordid>eNpFkUtvGyEUhelTtVL_hEpsuqSB4TUsLTdtIrltFu0aXRiwaSczE8CK8u-LnUi5mysdzrk6-kDoE6NfGKX60uiecCIFJZ00oifUNvkVWjedN_Us0tdoxRRjhHNh3ry8dUwo_hatKKcdMVrw92hlmqWnSrAPaF3KX9qGsY4ZuUL3G_wzPODNsuQZ_AHXGd-GXOYJRnwzhKmmmDzUNE84TXgHeR_wV6jgoISC3SO-TiFD9ofmGvEtjHdLTlPF23lI0x4_pHrAP45jTSQGqMccykf0LsJYwvp5X6A_365-b6_J7tf3m-1mR5ZOi0oAVIwuGsfd0IF2yiimvNdemEFGbZyLOoLrhHKgem28DBKoY30_DE5ywS_Q56e7C5TWLWaYfCq21buD_GiZNEZQyZqPP_nKqfk-ZOvm-V9pyE_UtW1gLbcNrT1zt2e5pcTz9TzfH0OpNpxivhHLMPoDLLVhtJz2ffuIFpFWS8P_A9eYiWY</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>You, Jane</creator><creator>Kong, Wai-Kin</creator><creator>Zhang, David</creator><creator>Cheung, King Hong</creator><general>Springer Berlin / Heidelberg</general><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>FFUUA</scope><scope>IQODW</scope></search><sort><creationdate>2004</creationdate><title>A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features</title><author>You, Jane ; Kong, Wai-Kin ; Zhang, David ; Cheung, King Hong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p274t-aa6ffbf9b3bd2a7b69616cc7c49d5f79bbf7fab246ba6879c5e5a0b188ddb5343</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>False Rejection Rate</topic><topic>Palmprint Image</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Personal Identification</topic><topic>Principal Line</topic><topic>Texture Energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>You, Jane</creatorcontrib><creatorcontrib>Kong, Wai-Kin</creatorcontrib><creatorcontrib>Zhang, David</creatorcontrib><creatorcontrib>Cheung, King Hong</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>You, Jane</au><au>Kong, Wai-Kin</au><au>Zhang, David</au><au>Cheung, King Hong</au><au>Jain, Anil K</au><au>Zhang, David Y</au><au>Jain, Anil K.</au><au>Zhang, David</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features</atitle><btitle>Biometric Authentication</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>2004</date><risdate>2004</risdate><volume>3072</volume><spage>739</spage><epage>745</epage><pages>739-745</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540221463</isbn><isbn>3540221468</isbn><eisbn>9783540259480</eisbn><eisbn>3540259481</eisbn><abstract>This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by coarse-to-fine guided search. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.</abstract><cop>Germany</cop><pub>Springer Berlin / Heidelberg</pub><doi>10.1007/978-3-540-25948-0_100</doi><oclcid>934980641</oclcid><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Biometric Authentication, 2004, Vol.3072, p.739-745 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15994051 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology False Rejection Rate Palmprint Image Pattern recognition. Digital image processing. Computational geometry Personal Identification Principal Line Texture Energy |
| title | A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features |
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