Face recognition method based on active defense image against attack

Abstract

The invention discloses a face recognition method based on an active defense image counterattack attack, comprising the following steps: (1) intercepting a face video into a frame image, adding a face tag after IS-FDC segmentation, to establish a face database (2) Use the FaceNet model to extract the facial features of the static frame image; (3) After using the LSTM network to extract the behavioral features of the face video, input the behavioral features into the AlexNet model, and obtain the micro-expression features after extraction; (4) The facial features and micro-expression features are concatenated to obtain the final facial features, and the face tags corresponding to the final facial features are determined according to the face tags stored in the face database. This method can effectively defend against image adversarial attacks and improve the accuracy of face recognition.

Description

technical field [0001] The invention belongs to the field of face recognition, and in particular relates to a face recognition method based on an active defense image against attack. Background technique [0002] Face recognition is mainly to automatically extract face features from face images, and then perform identity verification based on these features. With the rapid development of new technologies such as information technology, artificial intelligence, pattern recognition, and computer vision, face recognition technology has various potential applications in the fields of security systems such as public security and transportation, and thus has received extensive attention. [0003] At present, the deep learning networks for face recognition mainly include Deepface, VGGFace, Resnet, and Facenet. They can all recognize static face pictures, and the face as a biological feature has similarity and variability, the shape of the face is very unstable, people can produce ...

AI Technical Summary

Problems solved by technology

[0013] In order to overcome the characteristics that the current face recognition method is vulnerable to attacks and has low ability to recognize facial expressions, the present invention provides a face recognition method based on active defense image against attacks, which combines face recognition and LSTM behavior recognition through multi-channel , Micro-expression recognition, which can correctly identify faces under image confrontation attacks and resist attacks

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