TEMPLATE PROTECTION SCHEME FOR MULTIBIOMETRIC SYSTEM USING FUZZY VAULT BASED ON FEATURE LEVEL FUSION
1Sandip Kumar Singh Modak, 2Vijay Kumar Jha
Department of Computer Science & Engineering, Birla Institute of Technology, Mesra (Ranchi)-835215
1Research Scholar,2Associate Professor
Security of multibiometric template is crucial as they contain information regarding multiple traits of the same user. Hence multibiometric template protection is the main focus of this work. Stored biometric template can be replaced by an imposter’s template to gain unauthorized access; a physical spoof can be created from the template to gain unauthorized access to the system and the stolen template can be replayed to the matcher to gain unauthorized access. Multibiometric based systems are more secure compare to the unimodal based system and this is one of the factors for its popularity. Fuzzy vault and fuzzy commitment are two well known schemes for template security. Fuzzy vault is a biometric cryptosystem that secure both the secret key and the biometric template by binding them within a cryptographic framework. In this paper we propose a template protection scheme based on feature level fusion using fuzzy vault .this work extracts feature points from two different biometric modalities namely fingerprint and iris. After the feature level fusion of these two modalities the feature sets are evaluated on a generated polynomial which is turn is derived from a randomly generated key. Finally some chaff points are added that do not lie on the polynomial to form a vault. Since the points lying on polynomial encode the complete information about the template and the secret key, concealing these points secure both the template and secret simultaneously. The main purpose of Embedding algorithm in the process of feature level fusion is to converting different biometric representation into a common representation space.
Keywords: Multibiometric, Fuzzy Vault, Feature level Fusion, Embedding Algorithm, Template Protection, Iris, Fingerprint.