A novel chaotic stream cipher and its application to palmprint template protection |
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Authors: | Li Heng-Jian and Zhang Jia-Shu |
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Institution: | Sichuan Province Key Lab of Signal {\& Information Processing, Southwest Jiaotong University, Chengdu 610031, China |
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Abstract: | Based on a coupled nonlinear dynamic filter (NDF), a novel
chaotic stream cipher is presented in this paper and employed to
protect palmprint templates. The chaotic pseudorandom bit generator
(PRBG) based on a coupled NDF, which is constructed in an inverse
flow, can generate multiple bits at one iteration and satisfy the
security requirement of cipher design. Then, the stream cipher is
employed to generate cancelable competitive code palmprint
biometrics for template protection. The proposed cancelable
palmprint authentication system depends on two factors: the
palmprint biometric and the password/token. Therefore, the system
provides high-confidence and also protects the user's privacy. The
experimental results of verification on the Hong Kong PolyU Palmprint
Database show that the proposed approach has a large template
re-issuance ability and the equal error rate can achieve 0.02%.
The performance of the palmprint template protection scheme proves the
good practicability and security of the proposed stream cipher. |
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Keywords: | chaotic stream cipher coupled nonlinear dynamic
filter biometric protection cancelable competitive code |
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