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It is both crucial and challenging to protect biometric data used for biometric identification and authentication systems, while keeping the systems user-friendly. The authors study the design and analysis of biometric data protection schemes based on fuzzy extractors. There are limitations in previous fuzzy extractors, which make them difficult to handle continuous feature spaces, entropy estimation, and feature selection. They proposed a scheme based on PCA features and a recently proposed fuzzy extractor for continuous domains. They conduct experiments using the ORL face database, and analyze carefully the entropies and the resulting security of the system.
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