Identity identification method based on visual evoked potential (VEP)

Abstract

The invention belongs to the field of brain electricity and identity identification, providing an identity identification method which can effectively describe the components of the characteristic of the brain electricity and can achieve the requirement for improving the identification rate. The technical scheme is that the identity identification method based on visual evoked potential (VEP) comprises the following steps of: applying some image stimulation to a subject; selecting a proper scalp leading electrode to capture the visual evoked potential of the subject; preprocessing an original brain electricity signal in a de-noising way; extracting a gamma wave band power spectrum to be taken as the characteristic of the brain electricity to be researched; processing the characteristic of the brain electricity with Fisher linear discrimination; and studying and testing the optimized characteristic parameter in a classifying way through a BP neural network to realize the identity identification. The method is mainly applied to the identity identification.

Description

technical field [0001] The invention relates to the field of electroencephalography and identification, in particular to an identification method based on visually evoked electroencephalogram VEP. Background technique [0002] Biometric identification is the identification of personal identity through various high-tech information detection methods and the use of the inherent physiological or behavioral characteristics of the human body. Biological characteristics mainly include physiological characteristics and behavioral characteristics: physiological characteristics refer to innate and congenital physical characteristics of the human body, such as fingerprints, irises, palm shapes, faces, etc.; behavioral characteristics refer to the actions performed by people. The features extracted from sports are mostly acquired, such as handwriting, keystrokes, gait, etc. In the MIT Technology Review magazine in 2001, biometric technology was listed as one of the 10 most likely tech...

AI Technical Summary

Problems solved by technology

In contrast, some traditional biometrics (such as fingerprints or voices) may lose their own identification functions due to accidental damage (such as skin burns on the hands or loss of voice)

[0010] (4) EEG exists and only exists in the living body, so it can only be used for in-body detection. Compared with external features such as fingerprints, it is more difficult to copy and forge

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