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Multibiometric systems are being increasingly deployed in many large scale biometric applications (e.g., FBIIAFIS, UIDAI system in India) because they have several advantages such as lower error rates and larger population coverage compared to unibiometric systems. However, multibiometric systems require storage of multiple biometric templates (e.g., fingerprint, iris, and face) for each user, which results in increased risk to user privacy and system security. One method to protect individual templates is to store only the secure sketch generated from the corresponding template using a biometric cryptosystem. This requires storage of multiple sketches. In this paper, the authors propose a feature level fusion framework to simultaneously protect multiple templates of a user as a single secure sketch.
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