In order to solve the problem that current coding schemes lost consistence between similar local features

this paper proposes a new graphically regularized coding algorithm.This algorithm used any current coding scheme to get the initial coding coefficients

and utilized a regularized term to preserve locality constrains both in the feature space and the spatial domain of the image.Experimental results on popular benchmark datasets show that our method improves the performances of the current coding algorithms

and the average classification accuracies of our proposed method in MSRcv2

Caltech101

Scene15

Indoor 67 and UIUC-sport has reached 91.13%

76.02%

83.76%

44.78% and 89.05% respectively.