基于手指静脉特征图像的加密研究

Research on Encryption Based on Finger Vein Feature Image [JZ)][HS)]

摘要:

移动互联下的信息安全是目前研究的热门,提出从手指静脉图像的加密出发,首先对手指静脉图像的特征进行了提取,通过构建图像平滑器来获得静脉图像的大小,明暗区域的选择和特征图像的加强来获得采集后的静脉特征图像,其次对静脉图像采用基于小波基函数,Arnold映射,二次Logistic 映射和Baker变换的混合加密方式对进行加密；在相关系分析和差分攻击分析等方面实验比较,说明算法具有很好的安全性和低耗时性,能够完全适应在移动互联环境中推广。

Abstract:

Information security in the mobile Internet is currently a hotspot in researches. Starting from encryption of finger vein image, this paper first extracts characteristics of the finger vein image, and gets the size of vein image through establishing image smoother as well as the collected image of vein features through selecting the darkness area and characteristic features. Then, this paper adopts the function based on wavelet, Android mapping, the quadratic Logistic mapping and Baker transform to encrypt the vein image. Conduct experiment to compare the correlation analysis and differential attack analysis, and the results show that algorithm in this paper is safe and costs less time, so it is suitable to promote it in the mobile Internet.