Ear biometrics has generated an increased interest in the domain of biometric identification systems due to its robustness and covert acquisition potential. The external structure of the human ear has a bilateral symmetry structure. Here, we analyse ear biometrics based on ear symmetry features. We apply iterative closest point and kernel principal component analysis with circular kernel for feature extraction while using a circular kernel function, combined with empirical mode decomposition into intrinsic mode functions perceptual hashing using and fast Chebyshev transform, and a secure authentication approach that exploits the discrete logarithm problem and Bose–Chaudhuri–Hocquenghem error-correcting codes to generate 128-bit crypto keys. We evaluate the proposed ear biometric cryptosecurity system using our data set of ear images acquired from 103 persons. Our results show that the ear biometric-based authentication achieved an equal error rate of 0.13 and true positive rate TPR of 0.85.

中文翻译：

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使用循环核主成分分析、切比雪夫变换散列和 Bose-Chaudhuri-Hocquenghem 纠错码保护耳朵生物识别

由于其稳健性和隐蔽获取潜力，耳生物识别技术在生物识别系统领域引起了越来越多的兴趣。人耳的外部结构具有双侧对称结构。在这里，我们基于耳朵对称特征分析耳朵生物特征。我们应用迭代最近点和内核主成分分析与循环内核进行特征提取，同时使用循环内核函数，结合经验模式分解成固有模式函数使用和快速切比雪夫变换的感知散列，以及利用离散对数的安全认证方法问题和 Bose-Chaudhuri-Hocquenghem 纠错码以生成 128 位加密密钥。我们使用从 103 个人获得的耳朵图像数据集评估了拟议的耳朵生物特征密码安全系统。我们的结果表明，基于耳部生物特征的认证实现了 0.13 的相等错误率和 0.85 的真阳性率 TPR。