Cooperative sparse representation self-adaptive rapid face recognition method

The invention relates to a cooperative sparse representation self-adaptive rapid face recognition method. The method includes a local sparse representation classifier system that does not violate a sparse representation definition fundamental assumption, and includes the steps of: reading in images of training samples and a test sample; initializing the training samples and the test sample, using bilinearity interpolation to scale the training samples and the test sample to images of fixed sizes, integrating into column vectors and performing normalization processing; using nucleus induction to find out N* training samples most adjacent to the test sample, N* being an optimal predicted value; picking out a training sample category related with the test sample from the N* training samples to form a complete base; and using I norm collaboration to solve a sparse coefficient and predicting the category of the test sample through a residual error. The method also includes a system capable of finding the optimal p