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Y. Dodis, R. Ostrovsky, L. Reyzin and A. Smith, “Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data,” International Conference on the Theory and Applications of Cryptographic Techniques: Ad- vances in Cryptology (EUROCRYPT ’04), Interlaken, Swit- zerland, 2008, pp. 523-540.

has been cited by the following article:

• TITLE: Key Incorporation Scheme for Cancelable Biometrics

  AUTHORS: Eliza Yingzi Du, Kai Yang, Zhi Zhou

  KEYWORDS: Cancelable Iris Recognition, Gabor Descriptor, Recognition Capacity, Key Incorporation Scheme for Cancelable Biometrics

  JOURNAL NAME: Journal of Information Security, Vol.2 No.4, October 24, 2011

  ABSTRACT: Biometrics is becoming an important method for human identification. However, once a biometric pattern is stolen, the user will quickly run out of alternatives and all the applications where the associated biometric pattern is used become insecure. Cancelable biometrics is a solution. However, traditional cancelable biometric methods treat the transformation process and feature extraction process independently. As a result, this kind of cancelable biometric approach would reduce the recognition accuracy. In this paper, we first analyzed the limitations of traditional cancelable biometric methods, and proposed the Key Incorporation Scheme for Cancelable Biometrics approach that could increase the recognition accuracy while achieving “cancelability”. Then we designed the Gabor Descriptor based Cancelable Iris Recognition method that is a practical implementation of the proposed Key Incorporation Scheme. The experimental results demonstrate that our proposed method can significantly improve the iris recognition accuracy while achieving “cancelability”.