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High-dimension space projection-based biometric encryption for fingerprint with fuzzy minutia

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Abstract

Biometric identification has caused a multitude of problems in the networking environment, such as the storage of user’s biometric template and the leakage of user’s privacy, therefore, biometric encryption has been the focus of the recent studies which are based on Fuzzy Vault, Fuzzy Commitment, and dynamic key generation. However, due to fuzzy information inherent biological characteristics, essentially deterministic analysis techniques, Fuzzy Vault, and Fuzzy Commitment have been accused of stored biometric templates and short keys. Fuzzy Information Processing needs suitable technology, such as fuzzy logic, to obtain better results. In this paper, we propose a new fingerprint encryption scheme which utilizes the high-dimension space projection. Unlike the reliance on biometric templates in Fuzzy Vault-based scheme or “encrypted” templates in Fuzzy Commitment-based scheme, this new scheme, similar to the dynamic biometric key generation scheme, protects biometric key in a polynomial, and hence saves “nothing” on the biometric characteristics. Thus, it integrates the advantages of Fuzzy Vault, Fuzzy Commitment, and dynamic key generation into one scheme.

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Acknowledgments

This research was supported by Zhejiang Province Science and Technology Innovation Program under Grant Number (2013TD03) and the National Science Foundation of China (No. 61272045), (No. 61201301), (No. 61472091). And the Guangzhou Zhujiang Science and Technology Future Fellow Fund (Grant No. 2012J2200094), Distinguished Young Scholars Fund of Department of Education.(No. Yq2013126), Guangdong Province. We gratefully acknowledge funding support from the Major Program of National Social Science Foundation of China (No.11&ZD088).

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Authors and Affiliations

  1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China

    Zhendong Wu, Bin Liang, Lin You & Zhihua Jian

  2. Center for the Study of Language and Cognition, Zhejiang University, Hangzhou, 310012, China

    Zhendong Wu

  3. School of Computer Science, Guangzhou University, Guangzhou, 510006, China

    Jin Li

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  1. Zhendong Wu
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  2. Bin Liang
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  3. Lin You
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  4. Zhihua Jian
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  5. Jin Li
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Correspondence to Zhendong Wu.

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Communicated by V. Loia.

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Wu, Z., Liang, B., You, L. et al. High-dimension space projection-based biometric encryption for fingerprint with fuzzy minutia. Soft Comput 20, 4907–4918 (2016). https://doi.org/10.1007/s00500-015-1778-2

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