一种手指静脉特征图像加密方法的研究

Research into Encryption Based on Finger Vein Feature Image

针对当前手指静脉图像加密中存在信息丢失,效果弱的缺点,提出了一种新的加密策略。首先,采用图像平滑器获得静脉图像大小以确定图像范围,其次,利用明暗区域的方法获取图像代表性的特征信息,最后对图像的密钥信息和明文分别使用二次Logistic映射和Baker进行融合的加密,提高了图像加密的安全性。仿真实验中该算法相关性分析三个指标均有明显的提升,同时相比于一维混沌和均匀非退化离散混沌在统计分析方面平均提高了12.7%和5.6%,验证了本文算法在图像加密方面的效果。

Aiming at the shortcomings of information loss and weak effect in the current finger vein image encryption, a new encryption strategy is proposed. Firstly, an image smoother is used to obtain the size of the vein image to determine the image range, secondly, the method of bright and dark regions is used to obtain the representative feature information of the image, and finally, the key information and the plaintext of the image are encrypted by using the quadratic Logistic mapping and Baker fusion respectively, which improves the security of the image encryption. In the simulation experiments, the algorithm correlation analysis of the three indicators are significantly improved, while compared with the one Dimensional Chaotic and Uniform Non-Degeneracy Discrete Chaotic in the statistical analysis of an average of 12.7% and 5.6%, which verifies the effectiveness of this paper’s algorithm in the image encryption.