Rank-Level Fusion of Multimodal Biometric Cryptosystems

Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Security
Format: PDF
In this paper, the authors present an effective scheme that preserves the biometric templates more secured. They present a new algorithm called Enhanced Blind Encryption Algorithm for securing biometric templates between client and server and using that for authentication. There are four phases involved in this process namely, enrollment, identification, matching and fusion. During enrollment, biometric traits (fingerprint and iris) will be uploaded and encrypted using Enhanced Blind Encryption Algorithm (EBEA). During fusion, Borda count and Logistic regression methods are applied combinely in identifying the accurate results. Results indicate that the proposed system can be effectively used even for low-quality images.

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