With the widespread use of biometrics recognition systems, it is of paramount importance to protect the privacy of biometrics. In this paper, we propose to protect the fingerprint privacy by the artificial fingerprint, which is generated based on three pieces of information, i) the original minutiae positions; ii) the artificial fingerprint orientation; and iii) the artificial minutiae polarities. To make it real-look alike and diverse, we propose to generate the artificial fingerprint orientation by a model taking both the global and local fingerprint orientation into account. Its parameters can be easily guided by an user specific key with simple constraints. The artificial minutiae polarities are generated from the same key, where a block based and a function based approach are proposed for the minutiae polarities generation. These information are properly integrated to form a real-look alike artificial fingerprint. It is difficult for the attacker to distinguish such a fingerprint from the real fingerprints. If it is stolen, the complete fingerprint minutiae feature will not be compromised, and we can generate a different artificial fingerprint using another key. Experimental results show that the artificial fingerprint can be recognized accurately.

中文翻译：

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用于隐私保护的基于密钥的人工指纹生成

随着生物特征识别系统的广泛使用，保护生物特征的隐私至关重要。在本文中，我们建议通过人工指纹来保护指纹隐私，人工指纹是基于三条信息生成的，i）原始细节位置；ii) 人工指纹方向；iii) 人工细节极性。为了使它看起来真实而多样，我们建议通过一个同时考虑全局和局部指纹方向的模型来生成人工指纹方向。它的参数可以很容易地通过用户特定的键来引导，并具有简单的约束。人工细节极性是从相同的密钥生成的，其中提出了基于块和基于函数的方法来生成细节极性。这些信息经过适当的整合，形成了一个真实的人工指纹。攻击者很难将这种指纹与真实指纹区分开来。如果被盗，完整的指纹细节特征不会受到损害，我们可以使用另一个密钥生成不同的人工指纹。实验结果表明，人工指纹能够准确识别。