Multimodal Anti-spoofing in Biometric Recognition Systems
نویسندگان
چکیده
While multimodal biometric systems were commonly believed to be intrinsically more robust to spoof attacks than unimodal systems, recent results provided clear evidence that they can be evaded by spoofing a single biometric trait. This pointed out that also multimodal systems require specific anti-spoofing measures. In this chapter we introduce the issue of multimodal anti-spoofing, and give an overview of state-of-the-art anti-spoofing measures. Such measures mainly consist of developing ad hoc score fusion rules, that are based on assumptions about the match score distribution produced by fake biometric traits. We discuss the pros and cons of existing measures, and point out the current challenges in multimodal anti-spoofing.
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...
متن کاملRobust multimodal face and fingerprint fusion in the presence of spoofing attacks
Anti-spoofing is attracting growing interest in biometrics, considering the variety of fake materials and new means to attack biometric recognition systems. New unseen materials continuously challenge state-of-the-art spoofing detectors, suggesting for additional systematic approaches to target anti-spoofing. By incorporating liveness scores into the biometric fusion process, recognition accura...
متن کاملAn Intelligent Approach for Anti-Spoofing in a Multimodal Biometric System
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...
متن کاملEfficient software attack to multimodal biometric systems and its application to face and iris fusion
In certain applications based on multimodal interaction it may be crucial to determine not only what the user is doing (commands), but who is doing it, in order to prevent fraudulent use of the system. The biometric technology, and particularly the multimodal biometric systems, represent a highly efficient automatic recognition solution for this type of applications. Although multimodal biometr...
متن کاملMultimodal Biometric System Using Iris - Fingerprint: An Overview
Biometric recognition is automated recognition of individual based on the physiological and behavioral characteristics. Unimodal biometrics are facing problems like noisy data, intra class variation, inter class variation, spoofing attack etc. These limitations can be solved by using multimodal biometrics. Comparing to unimodal, multimodal biometric systems are performing better. A multimodal b...
متن کامل