Multi-view finger vein image acquisition device

Abstract

A multi-view finger vein image acquisition device comprises a camera module, a lighting module, a driving module and a supporting module, a rotating track is arranged on the supporting module, the driving module comprises a motor and a rotating handle, the motor is installed on the supporting module, the rotating handle is installed on the motor, and the camera module and the lighting module are oppositely arranged and connected with the rotating handle. The camera shooting module and the lighting module are further installed on the rotating track through pulleys, a space allowing the fingers to be placed in is formed between the camera shooting module and the lighting module, the motor drives the rotating handle to rotate, the rotating handle drives the camera shooting module and the lighting module to synchronously rotate along the rotating track, and the camera shooting module conducts multi-view camera shooting on the fingers; and the lighting module provides illumination of a corresponding visual angle for a finger during multi-visual-angle camera shooting. According to the multi-view finger vein image acquisition device, multi-view all-dimensional flexible acquisition of finger veins is realized only by using a single camera, so that the input cost is greatly reduced, the equipment structure and the control program are simplified, and high-quality and easy-to-operate multi-view finger vein acquisition is realized at low cost.

Description

technical field [0001] The invention relates to a multi-view finger vein image acquisition device. Background technique [0002] In the era of information technology, it has become one of the most critical social issues to identify and protect personal privacy in a safe and effective way. Biometric identification technology refers to the technology that uses the inherent physiological or behavioral characteristics of the human body for personal identification. Technologies such as face recognition, fingerprint recognition, iris recognition and finger vein recognition are all biometric recognition technologies. However, face recognition, fingerprint recognition, and iris recognition have problems such as vulnerable systems, vulnerable features, and high equipment costs. Finger Vein Recognition technology uses the vein pattern image obtained after near-infrared rays penetrate the fingers for personal identification. Compared with other biometric technologies, finger vein re...

AI Technical Summary

Problems solved by technology

[0004] The existing single-view finger vein image acquisition mode can only achieve a single view of the vein, the collected vein information is very limited, and it is very sensitive to the position of the finger, and rotation and translation will produce a large difference in vein images. affect subsequent processing

[0005] Existing multi-view acquisition devices all use a multi-camera shooting system, which is expensive and has complicated device control procedures

The camera is the most expensive part of the acquisition equipment, and each camera needs to have a corresponding lighting module, so multi-camera shooting will double the cost of the equipment; in addition, the multi-camera shooting system needs to set up a strict shooting control process, so that The near-infrared light source corresponding to the angle of view emits light

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