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Research on the key extraction from iris characteristics based on wavelet packet decomposition

机译:基于小波包分解的虹膜特性的关键提取研究

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Key extraction from the biometric is a new direction of encryption, which solves the safety problem of key a certain extent. Iris has rich textures, and its generated signature is longer than other biometric, and has unique advantages in term of key extraction. The wavelet packet is used to decompose effective iris region into the three layers. The third diagonal high frequency coefficient is extracted as the iris feature, and the encryption key was randomly generated from iris feature to meet the encryption demand. The United States NIST encryption standard is adopted to test the extracted key, and the experimental results show that through the 7 seed test of NIST, the generated key meets the security of encryption algorithm needs.
机译:来自生物识别的键提取是一种新的加密方向,这解决了一定程度的关键的安全问题。虹膜具有丰富的纹理,其生成的签名比其他生物识别更长,并且在关键提取期间具有独特的优势。小波分组用于将有效的虹膜区域分解为三层。提取第三对角线高频系数作为虹膜特征,并且加密密钥是从虹膜特征中随机生成的,以满足加密需求。采用美国NIST加密标准来测试提取的密钥,实验结果表明,通过NIST的7种子测试,所生成的密钥符合加密算法的安全性。

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