Artificial finger detection by spectrum analysis
| Autor: | Wahab Almuhtadi, Shoude Chang, Qinghan Xiao, Alexander Bergeron, Brittany Reid, Jeff Secker |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Spoofing attack
Artificial finger business.industry Computer science InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Applied Mathematics Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Fingerprint recognition Test subject Computer Science Applications body regions Fingerprint Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Near ultraviolet Spectrum analysis business SIMPLE algorithm |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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