The invention discloses a data enhancement method for robust face identification. According to the method, a face shielding
processing method is included, if an input face image has no shielding, a standard formed by all the no-shield samples is selected as a shielding
mask, if the face image corresponds to one type shielding, a corresponding shielding
mask is selected for reconstruction;
noise is added in a manual mode, and
noise enhancement
processing is carried out;
fuzzy set image enhancement is carried out; HsV
equalization homomorphic filtering is carried out, through image
spectrum analysis, influence of illumination and
reflectivity on a pixel gray value is processed, the image is reduced to be a more clear one, and more details are realized;
image generation is accomplished based on triangular face multi-attitude characteristics. The method is advantaged in that influence of shielding,
noise, fuzziness, illumination, expression and attitude factors can be prevented in a face
identification system, a problem of insufficient training data in the face
identification system can be solved, and model generalization capability is improved.