Method for recognizing human face based on electrical power system network safety

Abstract

A human face identifying method based on network security access of power system, belonging to human face detecting and security identifying field, by using a human face identifying algorithm based on local characteristics analysis and optimization matching, the method according to the invention comprises: estimating several key characteristic points in human face identification via neural network method; using six BP neural networks to carry out characteristic point positioning process for characteristic point position; during the dynamic human face detection, the image function containing human face rapidly varies by the time t, detecting over 20 frames per second; the BP neural network comprises three layers, namely an input layer, a hiding layer and an output layer with same structure, the topology structure of each layer uses integral interconnection mode. With realization of the method, the problem of light compensation in human face detection and identification can be effectively solved, in order to enhance the performance of human face detection and human identification in different light condition. The method also has advantages of high operation efficiency, excellent operating convenience, suitable for wide application.

Description

technical field [0001] The invention belongs to the field of face detection and security identification, in particular to a face identification method for network security access of a power system. Background technique [0002] Traditional network security and identity authentication mostly use passwords, electronic certificates, keys, etc., which have their shortcomings, may be stolen or lost, and are not easy to carry around. The advancement of computing technology, especially the popularity of the Internet, has made identity authentication a part of our life and work. However, the traditional identity authentication methods that mainly rely on passwords have exposed more and more problems, such as credit card passwords, bank account passwords, Network login passwords take up our precious memory space. We need passwords to open computers, passwords to enter mailboxes, passwords to withdraw money from banks, etc. We not only need to memorize various passwords, but also reme...

AI Technical Summary

Problems solved by technology

[0007] To reduce or avoid wrong operations by personnel, strict regulations can be formulated or an anti-misoperation locking function can be added to the software of the centralized control station; while the unauthorized operations of unrelated personnel are generally blocked by measures such as improving authority management and password authentication, but once the password is leaked, Unrelated personnel can cheat the trust of the system and cause serious consequences