Neural network face recognition system based on memristor

Abstract

The invention discloses a neural network face recognition system based on a memristor. The neural network face recognition system comprises a face capture module, a preprocessing module, an input module, a memristor neural network module, an output module and a weight updating module. The face capture module is used for capturing a face picture in the picture; the preprocessing module is used forcarrying out dimension reduction processing on the face picture; the input module is used for converting the picture subjected to dimension reduction into an electric signal; the memristor neural network module is used for storing network weights, carrying out matrix vector multiplication operation on the electric signals and transmitting an operation result to the output module; the output moduletransmits the operation result to a weight updating module for weight updating, and transitting the updated weight to a memristor neural network module, and the output module reads an identificationresult of the network; the memristor neural network module is composed of a memristor array. The structure scale of the memristor neural network is reduced by utilizing a principal component analysisalgorithm, so that the operation speed is increased, the operation energy consumption is reduced, and the hardware cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of artificial neural networks, and more specifically relates to a memristor-based neural network face recognition system. Background technique [0002] With the development of network technology and computer vision technology, how to correctly identify personal identity information in daily life has become a major problem that society needs to solve urgently. Information such as traditional certificates and passwords is easy to be falsified, making related authentication and identification technologies unable to meet the needs of life. The characteristics of uniqueness, stability and not easy to falsify biometrics have attracted widespread attention. Among them, face recognition is an active research field and one of the most outstanding capabilities of human vision. Although the reliability of face recognition is lower than that of iris and retina, but because it does not require behavioral cooperation, ve...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the defects of the prior art, the object of the present invention is to provide a memristor-based neural network face recognition system, aiming to solve the problem of low operation speed of the existing artificial neural network face recognition system

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