Movimentos da Íris: O Melhor Estado para o Processo de Reconhecimento Biométrico Dinâmico
(Iris Movements: The Best State to Dynamic Biometric Recognition Process)
Cláriton Rodrigues Bernadelli (email@example.com)1, Paulo Ricadro da Silva (firstname.lastname@example.org)2, Antônio Cláudio Paschoarelli Veiga (email@example.com)2
1Universidade Federal do Triângulo Mineiro2Universidade Federal de Uberlândia
This paper appears in: Revista IEEE América Latina
Publication Date: May 2016
Volume: 14, Issue: 5
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.
Biometrics, EER, Iris Dynamics
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