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A two -step hybrid approach for voiceprint-biometric template protection

机译:声纹-生物识别模板保护的两步混合方法

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Biometric template protection is a crucial issue to be addressed for widespread deployment of biometrics-based recognition systems in real life application. Although a number of biometric template protection methods have been reported, it is still a challenging task to devise a scheme to satisfy both security and performance. In this paper, a two-step hybrid approach is proposed to generate a cancelable voiceprint template utilizing the advantages of both Template Transformation and Biometric Cryptosystem. The original voiceprint is transformed with random matrix based on the similarity-preserving of random projection. Chaff points are added to the codebook and matching is also performed in the transformed domain. Random projection improves the cancelability while chaff points conceal the genuine codeword to enhance the security. Binary indexes help identify the genuine codeword accurately. The effectiveness of the proposed method is well supported by detailed analysis. The experimental results demonstrate that the recognition performance is well-kept as the original template does.
机译:生物特征模板保护是在现实生活中广泛部署基于生物特征的识别系统时需要解决的关键问题。尽管已经报道了许多生物模板保护方法,但是设计一种既能满足安全性又能满足性能要求的方案仍然是一项艰巨的任务。在本文中,提出了一种两步混合方法,利用模板转换和生物识别密码系统的优点来生成可取消的声纹模板。基于随机投影的相似度保留,使用随机矩阵对原始声纹进行转换。将Chaff点添加到码本,并且还在变换后的域中执行匹配。随机投影提高了可取消性,而糠cha皮点隐藏了真正的码字,从而提高了安全性。二进制索引有助于准确识别真正的代码字。详细分析很好地支持了所提方法的有效性。实验结果表明,识别性能与原始模板一样良好。

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