多自由度神经元模型的人脸识别算法研究

A Multi-degree of Freedom Neurons Model Algorithm for Face Recognition

针对人脸识别问题,提出一种基于多自由度神经元模型的人脸识别算法.首先,给出多自由度神经元模型及其神经网络的构造算法;然后,将算法用于UMIST人脸库和YALE人脸库,同时在计算中给出了一种简单有效的减少光照影响的预处理的方法;最后将本文算法与SVM算法进行比较,证明了算法的有效性.

In this paper, a novel algorithm based Multi-degree of Freedom neuron is proposed to deal with face recognition. Firstly, the Multi-degree of Freedom neuron model and its neural network conformation algorithm are given; Secondly, the algorithm is ap- plied to the UMIST and Yale face database. A new pretreatment method is proposed to reduce the effect of light at the same time; lastly, the algorithm is compared to the SVM and its effectiveness is proved by the experiments.