Fingerprint liveness detection using local quality features
نویسندگان
چکیده
منابع مشابه
Fingerprint Spoof Detection Using Quality Features
Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems ar...
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متن کاملLocal contrast phase descriptor for fingerprint liveness detection
We propose a new local descriptor for fingerprint liveness detection. The input image is analyzed both in the spatial and in the frequency domain, in order to extract information on the local amplitude contrast, and on the local behavior of the image, synthesized by considering the phase of some selected transform coefficients. These two pieces of information are used to generate a bi-dimension...
متن کاملLiveness Detection for Fingerprint Biometrics
Biometrics refers to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. They are used in forensic and commercial applications. Among all biometric techniques, fingerprint recognition is the most widely used for personal identification systems due to its permanence and uniqueness. But biometric systems ar...
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We propose a simple and effective approach for fingerprint liveness detection based on the wavelet analysis of the finger tip surface texture. Experimental results show that our method can successfully differentiate live finger tips from fake finger tips made of most commonly used material in fingerprint spoofing.
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ژورنال
عنوان ژورنال: The Visual Computer
سال: 2018
ISSN: 0178-2789,1432-2315
DOI: 10.1007/s00371-018-01618-x