Multi-scale and multi-feature bionic face recognition

Daubechies orthogonal wavelet transform is applied to preprocess the face image.Firstly,principal component analysis(PCA) is used to low resolution sub-image which is generated by the second wavelet transform.The neighbor classifier is applied to get the distance feudatory.Fuzzy decomposition is employed to extract candidate samples.PCA is used to analysis the low resolution sub-image,which is gained by first wavelet transform.The nearest neighbor classifier is applied to recognize them.Experiments show that the multi-resolution sub-images and multi-feature get by the wavelet transform and that so far as the PCA analysis is concerned,there is a certain complementarily between the sort results of the sub-images,The sort performance can be improved.