一种增强指纹模板保护方法

C. Kaizhi, H. Aiqun
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引用次数: 4

摘要

提出了一种基于生物哈希和模糊承诺的双可取消指纹模板方法。该方法首先利用生物哈希算法将指纹图像中提取的指纹码不可逆地映射为一串二进制位,然后利用模糊承诺算法将该位串与密钥绑定,生成最终的模板数据存储在数据库中。在生物特征转换的方法中克服了重放攻击的威胁,同时也避免了原始模板特征的潜在泄漏。此外,针对BioHashing中随机矩阵公开时识别率较差的问题,我们还提出了一些改进措施,包括将指纹核心点和细节点同时对齐,以及指定一个随机点代替核心点作为Finger Code的参考点。这些改进增强了指纹识别的能力,降低了注册失败率,也增加了攻击者破解的难度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Enhancing Fingerprint Template Protection Method
The paper proposes a dual cancellable fingerprint template method based on BioHashing and Fuzzy Commitment. In the new method, firstly, Finger Code extracted from fingerprint image is noninvertibly mapped into a string of binary bits by BioHashing, and then the bit string is bound with a key by Fuzzy Commitment to generate the final template data stored in the database. It can overcome threat of replay attack in the approach of biometric feature transformation, and also avoid latent leakage of original template feature. in addition, as for the poor recognition when the random matrix is public in BioHashing, we also proposes some improvements, including aligning fingerprints with both fingerprint core point and minutiae, and assigning a random point instead of the core point as the reference point of Finger Code. These improvements enhance the ability of fingerprint recognition, and reduce the rate of failure to enroll, and also increase the difficulty of crack for attackers.
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