Identity recognition method and system, storage medium, computer program and terminal

Abstract

The invention belongs to the technical field of information identification, and discloses an identity identification method and system, a storage medium, a computer program and a terminal, and the method comprises the steps: obtaining an electroencephalogram signal collected by an electrode cap, and inputting the electroencephalogram signal to the identity identification system; carrying out noiseremoval on the input electroencephalogram signal, carrying out preprocessing by using an ICA algorithm and a band-pass filter for filtering, and obtaining electroencephalogram of an effective frequency band after filtering operation; extracting electroencephalogram signal features of the preprocessed electroencephalogram signals by using AR and SWT algorithms; and finally, calculating by using agraph convolution network algorithm, outputting a user ID, and carrying out identity recognition on the electroencephalogram signal. According to the invention, the identity of the user can be automatically identified according to the EEG signals generated by the human body in different states, the limitation to the human state is reduced, and the identification of the EEG signals for limiting thehuman body in a certain state to the identity of the user is solved; and an advanced and safe anti-counterfeiting technology is provided, so that hackers and users cannot obtain identity recognitionpasswords.

Description

technical field [0001] The invention belongs to the technical field of information identification, and in particular relates to an identification method, system, storage medium, computer program and terminal. Background technique [0002] At present, in the identification of people, the identification technologies commonly used are mainly password technology, fingerprint and face recognition technology. All of these identification technologies have a common shortcoming, that is, they can fake our identity by cleverly copying fingerprints and imitating our faces, and we can also crack our passwords through brute force cracking, and then use the user's identity to carry out illegal activities. The damage it brings is immeasurable, so we need to further improve our identification technology to enhance its security. This can be achieved by identifying the identity through EEG, protecting the system while protecting its identification information. Because the EEG is changeable,...

AI Technical Summary

Problems solved by technology

The main defect of traditional identification technology is that through the acquisition and cracking of passwords and the careful forgery and reproduction of high-resolution photos, it is possible to forge identities and carry out illegal activities, causing adverse effects

[0004] Through the above analysis, the problems and defects of the existing technology are: the traditional identification technology identification password is easy to leak

[0005] The difficulty of solving the above problems and defects is: when solving the defects of traditional identification technology, the main difficulty is the collection and analysis of the user's EEG signal

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