Iris Movements: The Best State to Dynamic Biometric Recognition Process
Substantially, biometric recognition systems that use the information on iris texture employ approximate models. They minimize the problems associated with iris dilation and contraction. This article demonstrates quantitatively that iris movements may lead to significant differences between the enro...
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| Veröffentlicht in: | Revista IEEE América Latina 2016-05, Vol.14 (5), p.2440-2445 |
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| container_title | Revista IEEE América Latina |
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| creator | Rodrigues Bernadelli, Clariton da Silva, Paulo Ricadro Claudio Paschoarelli Veiga, Antonio |
| description | Substantially, biometric recognition systems that use the information on iris texture employ approximate models. They minimize the problems associated with iris dilation and contraction. This article demonstrates quantitatively that iris movements may lead to significant differences between the enrolment images from a database and the test image. In order to clarify this assumption two experiments were performed and the results indicate that the system performs better when the dilation rate is smaller. Unlike what was expected, images with greater dilation rate do not cause the worst system performance. Lastly, images with intermediate dilation rate brought the system to present the worst outcome. |
| doi_str_mv | 10.1109/TLA.2016.7530443 |
| format | Article |
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Lastly, images with intermediate dilation rate brought the system to present the worst outcome.</description><identifier>ISSN: 1548-0992</identifier><identifier>EISSN: 1548-0992</identifier><identifier>DOI: 10.1109/TLA.2016.7530443</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Approximation ; Biological system modeling ; Biometrics ; Deformable models ; Dilation ; EER ; High definition video ; Image resolution ; Iris Dynamics ; Iris recognition ; Movements ; Rubber ; Surface layer ; Texture</subject><ispartof>Revista IEEE América Latina, 2016-05, Vol.14 (5), p.2440-2445</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Lastly, images with intermediate dilation rate brought the system to present the worst outcome.</description><subject>Approximation</subject><subject>Biological system modeling</subject><subject>Biometrics</subject><subject>Deformable models</subject><subject>Dilation</subject><subject>EER</subject><subject>High definition video</subject><subject>Image resolution</subject><subject>Iris Dynamics</subject><subject>Iris recognition</subject><subject>Movements</subject><subject>Rubber</subject><subject>Surface layer</subject><subject>Texture</subject><issn>1548-0992</issn><issn>1548-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkM1LAzEQxYMoWKt3wUvAi5fWfO1m11tbtRYqitZzSLOzmtLd1CQV-t-b0iriZWZgfu_xeAidU9KnlJTXs-mgzwjN-zLjRAh-gDo0E0WPlCU7_HMfo5MQFoTwIi94B40n3gb86L6ggTaGGzz7ADyEEPFr1BFwdPh20-rGGjy0roHo0_UCxr23NlrX4mfvDIRwio5qvQxwtt9d9HZ_Nxs99KZP48loMO0ZRmTsmXkuScV4nc9rVs2ZpNRwXeWgpQRacMGrqiwIABO0FlWmQecSKmbYFq8L3kVXO9-Vd5_rlFM1NhhYLnULbh1U8sjyNEqR0Mt_6MKtfZvSJYoUpRSMZ4kiO8p4F4KHWq28bbTfKErUtlmVmlXbZtW-2SS52EksAPziP99v0SdzzQ</recordid><startdate>20160501</startdate><enddate>20160501</enddate><creator>Rodrigues Bernadelli, Clariton</creator><creator>da Silva, Paulo Ricadro</creator><creator>Claudio Paschoarelli Veiga, Antonio</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Approximation Biological system modeling Biometrics Deformable models Dilation EER High definition video Image resolution Iris Dynamics Iris recognition Movements Rubber Surface layer Texture |
| title | Iris Movements: The Best State to Dynamic Biometric Recognition Process |
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