Hand-identification non-contact type identification system

Abstract

A hand-identification non-contact type identification system is provided. A central processing module gives out an instruction to a sound playing module; the sound playing module sends short ultrasonic waves to a user hand; a sound collection module receives hand ultrasonic wave echoes and sends the same to the central processing module; the central processing module analyzes the received ultrasonic wave information to acquire biological features and compares the features to a registered biological feature base; a communication module transmits a biological feature comparison result to a third-party device; the sound collection module comprises three micro directional microphones distributed in a triangular shape to receive sound information from a 180-degree hemispherical direction; each microphone can receive sound from a 120-degree direction and sends the sound information to the central processing module; the sound outputting module comprises three micro loudspeakers distributed in a right-triangular shape to sends sound to the 180-degree hemispherical direction.

Description

technical field [0001] The invention belongs to the technical field of security identification, and in particular relates to a non-contact identification system for hand identification. Background technique [0002] The existing identification technology basically uses biometric identification and behavioral identification as identification methods. Biometric features that have been used for biometric identification include hand shape, fingerprint, face shape, iris, retina, pulse, auricle, etc., and behavioral features include signature, voice, and keystroke strength. [0003] There are four main non-contact identification methods, which are image recognition using a camera, voice recognition using a microphone, recognition through ultrasonic waves, and recognition by wearing markers. [0004] Among them, ultrasonic waves have good directionality, high energy carrying capacity, transmission, reflection and refraction effects, and are similar to light waves. Therefore, the m...

AI Technical Summary

Problems solved by technology

[0006] However, there are two problems in the existing hand recognition methods. One is that the hands must all be in contact with the recognition instrument, at least the main feature area to be recognized must be in contact with the device to recognize the hand; the other is that the recognition device requires the user to Makes predetermined movements that don't come naturally into everyday life

Therefore, the existing hand recognition is difficult to use in life scenes, and it is more used in special scenes such as access control

Images