Multibiometric Cryptosystems Based on Feature Level Fusion
Multi-biometric 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 uni-biometric systems. However, multi-biometric 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.