|1/2005 - 13|
Design of an Application for Control-Access Using Iris RecognitionCatalin LUPU
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software product, iris, image, recognition
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About this article
Date of Publication: 2005-04-02
Volume 5, Issue 1, Year 2005, On page(s): 81 - 85
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
Algorithms developed by the professor John Daugman from Cambridge University for recognizing persons by their iris patterns have now been tested in six field and laboratory trials, producing no false matches in several million comparison tests. The recognition principle is the failure of a test of statistical independence on iris phase structure encoded by multi-scale quadrature wavelets. The combinatorial complexity of this phase information across different persons spans about 249 degrees of freedom and generates a discrimination entropy of about 3.2 bits/mm2 over the iris, enabling real-time decisions about personal identity with extremely high confidence. The high confidence levels are important because they allow very large databases to be searched exhaustively (one-to-many .identification mode.) without making false matches, despite so many chances. Biometrics that lack this property can only survive one-to-one (.verification.) or few comparisons. This paper presents an efficient software product that recognizes a person by its iris pattern by searching in a large iris database.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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