Fingerprint Verification Using the Texture of Fingerprint Image
In this paper, a fingerprint verification method is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to missing some minutiae, non-linear distortions, and rotation and distortion variations. It reduces multi-spectral noise by enhancing a fingerprint im...
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| creator | Khalil, M.S. Muhammad, D. AL-Nuzaili, Q. |
| description | In this paper, a fingerprint verification method is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to missing some minutiae, non-linear distortions, and rotation and distortion variations. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extract a 129 × 129 block, making the reference point its center. From the 4 co-occurrence matrices four statistical descriptors are computed. Experimental results show that the proposed method is more accurate than other methods the average false acceptance rate (FAR) is 0.62%, the average false rejection rate (FRR) is 0.08%, and the equal error rate (EER) is 0.35%. |
| doi_str_mv | 10.1109/ICMV.2009.18 |
| format | Conference Proceeding |
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Experimental results show that the proposed method is more accurate than other methods the average false acceptance rate (FAR) is 0.62%, the average false rejection rate (FRR) is 0.08%, and the equal error rate (EER) is 0.35%.</description><subject>Co-occurrence matrix</subject><subject>Computer graphics</subject><subject>Electronic mail</subject><subject>Enhancement</subject><subject>Error analysis</subject><subject>Feature extraction</subject><subject>Fingerprint</subject><subject>Fingerprint recognition</subject><subject>Frequency estimation</subject><subject>Image matching</subject><subject>Machine vision</subject><subject>Noise reduction</subject><subject>Nonlinear distortion</subject><isbn>1424456444</isbn><isbn>0769539440</isbn><isbn>9780769539447</isbn><isbn>9781424456444</isbn><isbn>9781424456451</isbn><isbn>1424456452</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNjk1Lw0AURUdEUGt27tzMH0icN3nztRIJtgYqbtpuy3Typo7YVCYR9N8bUMHV5XIPl8PYNYgKQLjbtnnaVFIIV4E9YYUzFlAiKo0KTtnlX0E8Z8UwvAohwGmjNFywu3nq95Tfc-pHvqGcYgp-TMeer4dp4eML8RV9jh-Z-DHy_3R78Hu6YmfRvw1U_OaMrecPq-axXD4v2uZ-WSYwaiwBLVgIBrxGUrXy6DFCV0_2BB0oJUCG6IzDndUdhRB3jqQKJIWRVkM9Yzc_v4mItpPAweevraotCOPqbz8YSHc</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Khalil, M.S.</creator><creator>Muhammad, D.</creator><creator>AL-Nuzaili, Q.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Fingerprint Verification Using the Texture of Fingerprint Image</title><author>Khalil, M.S. ; Muhammad, D. ; AL-Nuzaili, Q.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-148181c71a64e535a4a4f1d3109e1d155012cf9794b86deccfb9e25ce20728613</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Co-occurrence matrix</topic><topic>Computer graphics</topic><topic>Electronic mail</topic><topic>Enhancement</topic><topic>Error analysis</topic><topic>Feature extraction</topic><topic>Fingerprint</topic><topic>Fingerprint recognition</topic><topic>Frequency estimation</topic><topic>Image matching</topic><topic>Machine vision</topic><topic>Noise reduction</topic><topic>Nonlinear distortion</topic><toplevel>online_resources</toplevel><creatorcontrib>Khalil, M.S.</creatorcontrib><creatorcontrib>Muhammad, D.</creatorcontrib><creatorcontrib>AL-Nuzaili, Q.</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 Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khalil, M.S.</au><au>Muhammad, D.</au><au>AL-Nuzaili, Q.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fingerprint Verification Using the Texture of Fingerprint Image</atitle><btitle>2009 Second International Conference on Machine Vision</btitle><stitle>ICMV</stitle><date>2009-12</date><risdate>2009</risdate><spage>27</spage><epage>31</epage><pages>27-31</pages><isbn>1424456444</isbn><isbn>0769539440</isbn><isbn>9780769539447</isbn><isbn>9781424456444</isbn><eisbn>9781424456451</eisbn><eisbn>1424456452</eisbn><abstract>In this paper, a fingerprint verification method is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to missing some minutiae, non-linear distortions, and rotation and distortion variations. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point and then extract a 129 × 129 block, making the reference point its center. From the 4 co-occurrence matrices four statistical descriptors are computed. Experimental results show that the proposed method is more accurate than other methods the average false acceptance rate (FAR) is 0.62%, the average false rejection rate (FRR) is 0.08%, and the equal error rate (EER) is 0.35%.</abstract><pub>IEEE</pub><doi>10.1109/ICMV.2009.18</doi><tpages>5</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Co-occurrence matrix Computer graphics Electronic mail Enhancement Error analysis Feature extraction Fingerprint Fingerprint recognition Frequency estimation Image matching Machine vision Noise reduction Nonlinear distortion |
| title | Fingerprint Verification Using the Texture of Fingerprint Image |
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