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Spoof Detection of Fingerprint Biometrics based on Local and Global Quality Measures
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 124 - Number 16 |
| Year of Publication: 2015 |
| Authors: Arunalatha G., M. Ezhilarasan |
10.5120/ijca2015905804
|
Arunalatha G., M. Ezhilarasan . Spoof Detection of Fingerprint Biometrics based on Local and Global Quality Measures. International Journal of Computer Applications. 124, 16 ( August 2015), 22-25. DOI=10.5120/ijca2015905804
Abstract
Biometrics is used for authentication purpose. Among the various types of biometrics, fingerprint is the most widely accepted biometrics. Biometric systems have several advantages when compared to classical methods such as passwords. Biometric system is vulnerable to various types of attacks. This paper proposes a method to avoid the sensor level attack. This method uses limited ring wedge spectral energy, Inhomogenity and Directional Contrast. The limited ring wedge spectral density is the global quality measure. Inhomogenity and Directional Contrast are the local quality measures.
References
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