A method and system for quickly authenticating a driver's identity

Abstract

The invention discloses a driver identity fast authentication method and a driver identity fast authentication system, which comprises the following steps: a 3D depth camera acquires infrared gray data and 3D depth data of a human face; the infrared gray-scale data is used to locate the face and obtain the face region; feature point detection is performed on the face region to obtain the face feature points; based on 3D depth data of face feature points and face feature points, face detection, identity authentication and output results are carried out in vivo. The invention adopts 3D depth camera to carry out human face living detection without driver completing a series of actions, and the living authentication process is relatively simple and the authentication rate is high. The 3D depthcamera is little affected by the external environment, and the success rate of driver identification is high.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to a method and system for fast identification of a driver. Background technique [0002] Driver information plays an important role in the safe transportation of freight, so how to efficiently, accurately and quickly verify whether the driver's identity is true or false is particularly important. [0003] At present, the technical means of detecting the driver's identity is mainly through machine vision, mainly through two steps: 1. Perform face detection; 2. Perform identity authentication and recognition by comparing information with the database. At present, the 2D image information obtained by the traditional 2D camera, especially the front camera of the mobile phone, is used for face detection and identification. The current method mainly has the following problems: [0004] 1. The process of live face detection through 2D cameras is complicated and strict, and requir...

AI Technical Summary

Problems solved by technology

[0004] 1. The process of live face detection through 2D cameras is complicated and strict, and requires the cooperation of the driver to complete a series of actions strictly against the camera. The live body authentication process is more complicated, and the authentication rate is not high;

[0005] 2. The 2D camera is sensitive to the light of the external environment, especially affected by complex and changeable factors such as the ambient light of the cockpit. As a result, the driver's identity authentication will frequently fail

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