Research And Application Of Encrypted Face Recognition Algorithm Based On Combinatorial Chaos And Neural Network

As a major branch of biometric technology,face recognition technology has been used in various fields of today's society.However,with more and more applications,data security and privacy issues are becoming more and more obvious.Especially in the past two years,the world has been in the context of continuous and repeated outbreaks of COVID-19,out of the implementation and implementation of the concept of no contact,face recognition technology has been widely used in more industries.Due to the biological uniqueness of human face,once the face data is stolen,the consequences will be very serious.In the face of this situation,how to protect face data while using face technology has become a problem that needs to be considered by researchers at present.Currently on the market most face recognition applications are simply face recognition,only consider the recognition efficiency and precision,to face the safety of the data itself that consider less,face data leak occurred frequently in recent years,at the same time,combined with the status quo of data breaches in the world at the present stage,the encryption is face recognition has a certain practical significance.In view of the problem of face data leakage,this paper mainly studies face encryption and recognition.The main research contents are as follows:(1)The basic chaos theory,the selection ideas of chaos encryption algorithm,advantages and disadvantages as well as BP neural network were studied,which was taken as a basic entry point of the theory in this paper.(2)The encrypted face recognition algorithm based on Henon chaotic map and Tent chaotic map is studied.Combined with the excellent characteristics of Henon chaotic map and Tent chaotic map,a more complex key is generated to complete the encryption of face data.At the same time,BP neural network is used to realize the encrypted face recognition.(3)The study uses the combination of two chaotic sequences of one-dimensional pure Logistic Map and Sine chaos to generate a new type of key,enhance the security of the key,combine the PCA algorithm and the BP neural network to complete face recognition,and combine the new algorithm with The third chapter and previous studies do a data comparison,which proves that the new face encryption algorithm proposed in this paper realizes the protection of the face data security while ensuring the recognition rate of the face.