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Identification system for ship workers face recognition algorithm in the problem of low recognition rate of face obscured case, put forward a kind of gradient value by using image multiple directions, using the fusion algorithm and compensation methods such as image produced the original image can be described characteristics, based on the characteristics of the figure of a series of processing so as to realize the algorithm of face recognition.Firstly, the gradient value of image quadrangle is calculated.Secondly, four gradients are fused to produce convergence gradient and differential gradient.Thirdly, the fusion gradient and the difference gradient are used as compensation variables to compensate the appropriate coefficients on the original image to form the face image feature map.Then, histogram statistics and principal component analysis were performed on the feature map in turn, and SVM classifier was used for classification and recognition.Matlab2016 experimental simulation platform was used to test on ORL database. The results show that the algorithm presented in this paper has a good performance in face recognition when the face is obscured.