| DOI | Resolve DOI: https://doi.org/10.1504/IJBM.2011.042818 |
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| Author | Search for: Chang, S.1; Search for: Secker, J.; Search for: Xiao, Q.; Search for: Reid, B.; Search for: Bergeron, A.; Search for: Almuhtadi, W. |
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| Affiliation | - National Research Council of Canada
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| Format | Text, Article |
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| Abstract | To prevent fingerprint spoofing attack, a simple, effective and low-cost approach for distinguishing artificial fingers from real ones based on spectrum analysis is presented in this paper. We measured the spectral features of both artificial and real fingers. The results show that near infrared images of fingers are sufficient to distinguish real fingers from artificial ones, while near ultraviolet images can be used to detect the surface details of fingers. We present a practical and simple algorithm based on these features that can successfully distinguish between real and artificial fingers regardless of the race of the test subject. Copyright © 2011 Inderscience Enterprises Ltd. |
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| Publication date | 2011 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21271703 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3edd3fee-16d1-410f-8faa-d64fb3a5ea98 |
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| Record created | 2014-03-24 |
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| Record modified | 2020-04-21 |
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