Identity authentication method based on blink sound signals

An identity verification method and sound signal technology, applied in the field of identity verification, can solve the problems of multiple computing resources, cost, and high working frequency band
CN112347450AActive Publication Date: 2021-02-09ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2021-02-09

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Abstract

The invention discloses an identity authentication method based on a blink sound signal, which is applied to the technical field of identity authentication, and comprises the following specific steps:acquiring an echo signal which comprises blink information; performing outlier and interference elimination on an energy spectrum density signal of an echo signal containing blink information by utilizing short-time Fourier transform; decomposing the energy spectral density signal into a component and a residual error by using an integrated empirical mode; performing fast Fourier transform on each obtained component to obtain a signal corresponding to the blink information in the component, and converting the signal into a Hilbert spectrum; utilizing a non-local relation representation layerto increase frequency domain features in a frequency spectrum frame of the Hilbert frequency spectrum; and constructing a feature extractor and a training classifier, and distinguishing a legal user from other users. According to the invention, the blink signal of the user can be identified on the premise of not invading the privacy of the user, so that the purpose of identity authentication is achieved.
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Description

technical field

[0001] The present invention relates to the technical field of identity verification, in particular to an identity verification method based on blinking sound signals. Background technique

[0002] Smartphones have become an indispensable tool in everyday life. Smartphones can store private data (eg photos, videos, passwords) and conduct secure transactions (apps such as mobile banking). User authentication on smartphones is critical to defending against potential attacks.

[0003] Smartphone authentication systems rely on fingerprints, faces, or voiceprints for convenient identity authentication. Nowadays, smart phones generally use fingerprint recognition and face recognition technology as security authentication for unlocking and mobile payment. Capacitive fingerprint recognition is a common method. In recent years, the development of organic light-emitting diode (OLED) screens has enabled the integration of optical-based off-screen fingerprints into sm...

Claims

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