一种优化的人脸特征数据保护算法

An optimized protection algorithm of face feature data

针对基于SIFT的保护算法运行效率低、算法结构庞大的问题,提出一种基于SIFT人脸特征数据保护算法的优化算法.该算法通过对原算法特征数据库中的数据存放方式、数据结构的优化,提高了检索效率.该算法在AR和YALE人脸库中进行实验,结果表明,本优化算法在保证数据安全性的前提下,不降低原有算法识别率的同时,使整个识别系统的运行效率更高.

Aiming at the problem that the protection algorithm based on SIFT had low operating efficiency and algorithm structure was huge, an optimization algorithm based on SIFT face feature protection algorithm was presented. This algorithm improved the efficiency of retrieval by optimizing the data storage and the data structure in the feature database of the original algorithm. The experiment was carried out on the optimized algorithm in AR and YALE face databases, the experimental results showed that the optimization algorithm ensured data security of the premise, kept recognition rate of the original algorithm, at the same time, made the recognition system more efficient.