Identity recognition algorithm based on heart sound multi-dimension feature extraction and system thereof

Abstract

The invention discloses an identity recognition algorithm based on heart sound multi-dimension feature extraction and a system thereof. The method comprises the steps that heart sound signals are collected through sensors, and the collected heart sound signals are first processed through a filter and then processed through discrete wavelet transform to obtain relative pure signals; the Mel-frequency cepstral coefficients and the Hilbert marginal spectrum of the heart sound signals are extracted through a computer; template features are extracted and formed; normalization is carried out on the template features, and feature selection is carried out through a PCA algorithm to establish a more perfect low-dimension template feature space; training features are trained through a KNN algorithm; test features to be tested are tested through an established classifier. According to the identity recognition algorithm based on the heart sound multi-dimension feature extraction and the system thereof, pattern recognition is introduced into an identity matching algorithm, the learning capacity and the rapid operational capability of the computer are utilized, training matching is carried out by adopting a great amount of data, and recognition speed and accuracy are further improved.

Description

technical field [0001] The invention relates to the field of identity recognition, in particular to an algorithm and system for identity recognition based on heartbeat sound. Background technique [0002] In recent years, people have increasingly emphasized the importance of personal information security, but hacker attacks and system vulnerabilities make traditional identity authentication systems (such as static passwords, mobile phone passwords, etc.) face huge challenges. Existing biometric authentication technologies (such as: fingerprint authentication, voice authentication) cannot meet people's needs for information security because of their characteristics of being easy to steal and copy. The heart is a unique organ inside the human body, and it is difficult to steal and replicate. The signal generated by the heart is closely related to the physiological structure of each person's heart. Different people have different heart sounds, which makes it possible for heart...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem existing in the prior art that using a single feature as the identification feature is not conducive to the improvement of the authentication recognition rate, and the dimension of some features is still high, which is not conducive to the rapid calculation of the computer, the present invention provides a multi-feature An identity recognition algorithm based on heart sound multi-dimensional feature extraction that is comprehensive, more efficient in classification and recognition, and faster in operation

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