A Novel Face Recognition Method Based on Generalized Iterated Shrinkage Algorithm
Guo Qiu-ya · Neimenggu Shi-da xuebao. Zhexue shehui kexue hanwen ban · 2014
In order to obtain better face recognition results,a novel face recognition method based on generalized iterated shrinkage algorithm is proposed in this paper.Firstly,the lp-norm non-convex sparse model is studied for solving the sparse minimization problem,and based on the research of existing iterative soft threshold algorithm,ageneralized iterated shrinkage algorithm is used to solve the problem of lp-norm non-convex sparse coding.Secondly,the proposed algorithm is used for face recognition.Finally,the simulation experiments are carried out to test the performance.The results show that the precision of our proposed algorithm is superior to that of other algorithms.