Face recognition method based on wavelet dimension reduction under homomorphic encryption

Abstract

The invention provides a face recognition method based on wavelet dimension reduction under homomorphic encryption, relates to the technical field of face recognition, and solves the problems that anexisting face recognition method based on homomorphic encryption is large in occupied space, long in face recognition time and poor in real-time performance in the face recognition process. The methodcomprises the steps of preprocessing a face picture input by a client and a face picture of a face database, then carrying out discrete wavelet transform in a homomorphic encryption domain on the encrypted face picture transmitted by the client, carrying out wavelet transform on the face picture in the face database in a plaintext state, then carrying out dimension reduction processing transform,thus reducing resource space occupancy rate and time consumed in the face recognition process. In addition, based on the homomorphic encryption property, the encrypted face picture can only be decrypted by an image owner, the requirement of both a cloud server and a client for privacy is guaranteed, and the comparison frequency can be reduced by comparing the Euclidean distance based on heap sorting, thus improving face recognition speed.

Description

technical field [0001] The present invention relates to the technical field of face recognition, and more specifically, to a face recognition method based on wavelet dimensionality reduction under homomorphic encryption. Background technique [0002] With the rapid development of social economy, there are more and more application scenarios of face recognition in our life. Face is an important way of identity recognition. It can be applied to public security, transportation, hospitals and other fields to provide public security, Management, etc. have improved efficiency and have more accurate identification, and can also be applied online to mobile phone unlocking, software login, payment verification, transaction verification, etc. By forming a face database and using face recognition to identify whether the user is operating, the privacy, property, and personal account security of customers can be fully protected. [0003] Face recognition includes face detection, face im...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of large space occupation, long face recognition time and poor real-time performance in the existing face recognition method based on homomorphic encryption, the present invention proposes a method based on wavelet dimensionality reduction under homomorphic encryption. The face recognition method, while ensuring that the privacy requirements are met, reduces the time and space complexity of the face recognition process and improves the recognition speed

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