An Intelligent Approach for Anti-Spoofing in a Multimodal Biometric System
نویسندگان
چکیده
While multimodal biometric systems are considered to be more robust than unimodal ones but traditional fusion rules are more sensitive to spoofing attempts. The proposed system is designed to overcome spoofing in worst-case scenario where impostor was able to create fake biometric traits of both face and fingerprint modalities in the presented multimodal biometric system. The paper investigates median filtering fusion rule as a spoofing resistant alternative to traditional sum rule based fusion rules. Experiments on the latest face video database (CASIA Face Anti-Spoofing Database) and fingerprint spoofing database (Fingerprint Liveness Detection Competition 2015) illustrate that the given system is more robust to spoofing attacks than the existing anti-spoofing methods even when m out of n samples of both the biometric traits to be combined are attacked. KeywordsMultimodal Biometrics, Anti-spoofing, Biometric feature extraction, Biometric score fusion.
منابع مشابه
An Intelligent Approach for Anti-Spoofing in a Multimodal Biometric System
Biometric systems are vulnerable to certain type of attacks at various points in the biometric model. A spoofing attack which is submitting a stolen, copied biometric trait to the sensor to gain unauthorized access to the biometric system is one among them. Multimodal biometric systems are designed to increase the accuracy of the biometric system, but they are more vulnerable to spoofing attack...
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