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Biometric cryptosystem based on discretized fingerprint texture descriptors

机译:基于离散指纹纹理描述符的生物识别密码系统

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This paper focuses on a biometric cryptosystem implementation and evaluation based on a number of fingerprint texture descriptors. The texture descriptors, namely, the Gabor filter-based FingerCode, a local binary pattern (LBP), and a local direction pattern (LDP), and their various combinations are considered. These fingerprint texture descriptors are binarized using a biometric discretization method and used in a fuzzy commitment scheme (FCS). We constructed the biometric cryptosystems, which achieve a good performance, by fusing discretized fingerprint texture descriptors and using effective error-correcting codes. We tested the proposed system on a FVC2000 DB2a fingerprint database, and the results demonstrate that the new system significantly improves the performance of the FCS for texture-based fingerprints.
机译:本文着重于基于许多指纹纹理描述符的生物密码系统的实现和评估。考虑纹理描述符,即基于Gabor滤波器的FingerCode,局部二进制图案(LBP)和局部方向图案(LDP),以及它们的各种组合。这些指纹纹理描述符使用生物特征离散化方法进行二值化,并用于模糊承诺方案(FCS)。通过融合离散的指纹纹理描述符并使用有效的纠错码,我们构建了具有良好性能的生物识别密码系统。我们在FVC2000 DB2a指纹数据库上测试了提出的系统,结果表明该新系统显着提高了基于纹理的指纹的FCS的性能。

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