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Biometric recognition by fusing palmprint and hand-geometry based on morphology
This paper presents a novel biometric recognition system fusing the palmprint and hand geometry of a human hand based on morphology. We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with t...
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creator | Wei-Chang Wang Wen-Shiung Chen Sheng-Wen Shih |
description | This paper presents a novel biometric recognition system fusing the palmprint and hand geometry of a human hand based on morphology. We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the gray level in the blocks are employed as characteristic values. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced down to 0.0035% and 5.7692%, respectively. |
doi_str_mv | 10.1109/ICASSP.2009.4959728 |
format | conference_proceeding |
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We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the gray level in the blocks are employed as characteristic values. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced down to 0.0035% and 5.7692%, respectively.</description><identifier>ISSN: 1520-6149</identifier><identifier>ISBN: 9781424423538</identifier><identifier>ISBN: 1424423538</identifier><identifier>EISSN: 2379-190X</identifier><identifier>EISBN: 9781424423545</identifier><identifier>EISBN: 1424423546</identifier><identifier>DOI: 10.1109/ICASSP.2009.4959728</identifier><language>eng</language><publisher>IEEE</publisher><subject>Authentication ; Biometric Recognition ; Biometrics ; Computational geometry ; Computer science ; Feature extraction ; Fingers ; Hand Geometry ; Humans ; Information geometry ; Morphology ; Palmprint ; Pixel</subject><ispartof>2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.893-896</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/4959728$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54554,54919,54931</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4959728$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wei-Chang Wang</creatorcontrib><creatorcontrib>Wen-Shiung Chen</creatorcontrib><creatorcontrib>Sheng-Wen Shih</creatorcontrib><title>Biometric recognition by fusing palmprint and hand-geometry based on morphology</title><title>2009 IEEE International Conference on Acoustics, Speech and Signal Processing</title><addtitle>ICASSP</addtitle><description>This paper presents a novel biometric recognition system fusing the palmprint and hand geometry of a human hand based on morphology. We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the gray level in the blocks are employed as characteristic values. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced down to 0.0035% and 5.7692%, respectively.</description><subject>Authentication</subject><subject>Biometric Recognition</subject><subject>Biometrics</subject><subject>Computational geometry</subject><subject>Computer science</subject><subject>Feature extraction</subject><subject>Fingers</subject><subject>Hand Geometry</subject><subject>Humans</subject><subject>Information geometry</subject><subject>Morphology</subject><subject>Palmprint</subject><subject>Pixel</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9781424423538</isbn><isbn>1424423538</isbn><isbn>9781424423545</isbn><isbn>1424423546</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVUMtOwzAQNC-JqvQLevEPpHhtb2wfoYKCVKlIBYlb5Tib1CiPKgmH_D0R9MIeZg67M5pZxpYgVgDC3b-uH_b7t5UUwq20Q2ekvWALZyxoqbVUqPGSzaQyLgEnPq_-7ZS9ZjNAKZIUtLtli77_EtNoVKBxxnaPsa1p6GLgHYW2bOIQ24ZnIy---9iU_OSr-tTFZuC-yflxgqSkX8nIM99Tzqfzuu1Ox7Zqy_GO3RS-6mlx5jn7eH56X78k291mKrJNIhgcEmOMzQkI88IqHTzJQCFIqymTAEZnllKRhlTliBbQGJSkIKDyEvJgtJqz5Z9vJKLDFLD23Xg4v0f9AKqMVYg</recordid><startdate>200904</startdate><enddate>200904</enddate><creator>Wei-Chang Wang</creator><creator>Wen-Shiung Chen</creator><creator>Sheng-Wen Shih</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200904</creationdate><title>Biometric recognition by fusing palmprint and hand-geometry based on morphology</title><author>Wei-Chang Wang ; Wen-Shiung Chen ; Sheng-Wen Shih</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7778de1e5df834cae2cecc284eb21174b8e606c63d558157752e31c53a21dc743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Authentication</topic><topic>Biometric Recognition</topic><topic>Biometrics</topic><topic>Computational geometry</topic><topic>Computer science</topic><topic>Feature extraction</topic><topic>Fingers</topic><topic>Hand Geometry</topic><topic>Humans</topic><topic>Information geometry</topic><topic>Morphology</topic><topic>Palmprint</topic><topic>Pixel</topic><toplevel>online_resources</toplevel><creatorcontrib>Wei-Chang Wang</creatorcontrib><creatorcontrib>Wen-Shiung Chen</creatorcontrib><creatorcontrib>Sheng-Wen Shih</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 Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wei-Chang Wang</au><au>Wen-Shiung Chen</au><au>Sheng-Wen Shih</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Biometric recognition by fusing palmprint and hand-geometry based on morphology</atitle><btitle>2009 IEEE International Conference on Acoustics, Speech and Signal Processing</btitle><stitle>ICASSP</stitle><date>2009-04</date><risdate>2009</risdate><spage>893</spage><epage>896</epage><pages>893-896</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9781424423538</isbn><isbn>1424423538</isbn><eisbn>9781424423545</eisbn><eisbn>1424423546</eisbn><abstract>This paper presents a novel biometric recognition system fusing the palmprint and hand geometry of a human hand based on morphology. We utilize the image morphology and concept of Voronoi diagram to cut the image of the front of the whole palm apart into several irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the gray level in the blocks are employed as characteristic values. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced down to 0.0035% and 5.7692%, respectively.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2009.4959728</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1520-6149 |
ispartof | 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.893-896 |
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language | eng |
recordid | cdi_ieee_primary_4959728 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Authentication Biometric Recognition Biometrics Computational geometry Computer science Feature extraction Fingers Hand Geometry Humans Information geometry Morphology Palmprint Pixel |
title | Biometric recognition by fusing palmprint and hand-geometry based on morphology |
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