Data enhancement method for robust face identification

Abstract

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.

Description

A Data Augmentation Method for Robust Face Recognition technical field The invention relates to the technical field of face recognition, in particular to a data enhancement method for robust face recognition. Background technique Face recognition is a biometric technology for identification based on human facial feature information. It is one of the most successful applications in the field of image analysis and understanding. It is widely used in many aspects, favored by users and researchers, and has broad application prospects in many fields. Among them, the application of big data has an important impact on the generality of the model. The academic community has been focusing on the research of recognition algorithms, and related algorithms emerge in endlessly. The existing face recognition algorithm has achieved a very high recognition rate in an ideal experimental environment, but the recognition effect is not satisfactory in the actual objective and uncontrolled ...

AI Technical Summary

Problems solved by technology

In order to solve the above problems, the present invention proposes a data enhancement method for robust face recognition, which can overcome the influence of occlusion, noise, blur, illumination, expression, posture and other factors in the actual face recognition system, and can solve the problem in the actual face recognition system. The problem of insufficient training data in the face recognition system improves the generalization ability of the model

Images