文章基本信息

标题：A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption
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作者：Liu Yunan ; Zhao Fudong ; Xu Yanli 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：6
页码：315-330
DOI：10.14257/ijsia.2016.10.6.30
出版社：SERSC
摘要：In the face recognition system, the protection of the facial feature template has already become the most important part. In view of that the current protection methods cannot meet the security and the matching rate simultaneously, a hybrid encryption algorithm was proposed in this paper fusing chaotic encryption and RSA encryption to solve this problem. After the preprocessing to the ORL face database, the feature template was extracted by 2D 2 LDA and PCA in the non-transformation domain. Then we applied the scrambling encryption and RSA encryption to obtain the final security template. At last, a system with the nearest neighbor classifier and Euclidean distance was used for the matching verification. The experimental results showed that this hybrid encryption method was feasible, effective and easy transplantation with no matching rate reduction.
关键词：facial feature; encryption; Chaos theory; RSA