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Enhancing the transmission security of biometric images using chaotic encryption

机译:使用混沌加密增强生物特征图像的传输安全性

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In this paper, a chaotic encryption framework is proposed for enhancing the security of biometrics images during transmission. The proposed framework is based on the fractional wavelet packet transform (FrWPT), chaotic map and Hessenberg decomposition. The core idea is to shuffle biometrics image using affine transform followed by the transformation in FrWPT domain with chaotically generated transform orders. Now, FrWPT coefficients are altered using the Hessenberg decomposition. Finally, a reliable decryption process is presented to reconstruct original biometrics image from the encrypted data only with the valid keys. The efficiency and robustness of the proposed technique are validated by different kind of simulations and analysis on fingerprint images.
机译:本文提出了一种混沌加密框架,以提高传输过程中生物特征图像的安​​全性。提出的框架基于分数小波包变换(FrWPT),混沌映射和Hessenberg分解。核心思想是使用仿射变换对生物识别图像进行混洗,然后在FrWPT域中使用混乱生成的变换顺序进行变换。现在,使用Hessenberg分解更改FrWPT系数。最后,提出了一种可靠的解密过程,仅使用有效密钥即可从加密数据中重建原始生物特征图像。通过对指纹图像进行不同类型的仿真和分析,验证了所提出技术的效率和鲁棒性。

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