Vein-based identity authentication method and wristband

An identity authentication and vein technology, applied in the field of intelligent identity recognition, can solve the problems of large data processing, complex calculation process, poor recognition effect, etc., achieve good recognition effect, reduce calculation amount, and reduce power consumption

Active Publication Date: 2018-09-21
베이징루이스즈신테크놀러지코엘티디
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the existing vein-based wrist identity authentication system has the following defects: First, it uses a common image sensor, which has strict requirements on light, and the recognition effect is not good under strong light or dark light conditions. very poor
Moreover, in the process of acquiring images, if the wristband moves, the acquired images will be very blurred; second, because the collected images are vein images containing background, the collected images have highly redundant data, and the image processing module needs to be complex The calculation of removing the background and extracting the vein feature image is complex, the calculation process is complex, the amount of data processing is large, and a large amount of computing resources are required.

Method used

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  • Vein-based identity authentication method and wristband
  • Vein-based identity authentication method and wristband
  • Vein-based identity authentication method and wristband

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] Please refer to figure 1 , a vein-based identity authentication method, comprising steps:

[0084] S1. Receive the identity authentication request sent by the touch sensor set on the wristband, and start timing according to the identity authentication request;

[0085] The user can activate the identity authentication process by pressing and holding the touch sensor. In order to prevent misuse, a touch sensor can be set on the opposite sides of the bracelet. Only when both touch sensors are pressed, the identity of the bracelet is activated. the certification process;

[0086]S2. Receive the vein feature image sent by the vein feature collector set on the inner wall of the bracelet during the rotation process of the wristband. According to the vein feature image, use a deep learning algorithm to obtain the corresponding first vein feature vector. Some deep learning algorithms process the received vein feature images to obtain vein feature vectors. The deep learning al...

Embodiment 2

[0092] This embodiment differs from Embodiment 1 in that:

[0093] Before the step S1, it also includes the step of collecting pre-stored vein feature vectors, specifically as Figure 4 Shown:

[0094] S0. Determine whether the wristband is used for the first time. Specifically, after the initial charging, the system performs a self-test to determine whether it is the first use. If so, execute step S01; otherwise, execute step S02;

[0095] S01. Receive the vein feature image sent by the dynamic vision sensor during the movement of the wristband along the arm direction, according to the vein feature image, use a deep learning algorithm to obtain the corresponding third vein feature vector, and convert the third vein feature vector Store in the vein feature vector set, and end the step of collecting pre-stored vein feature vectors;

[0096] S02. Determine whether to enable the daily vein feature vector collection function, if yes, perform step S021, otherwise, end the step of...

Embodiment 3

[0102] The difference between the present embodiment and the second embodiment is that the step S1 and the step S2 also include steps:

[0103] S11. Determine whether the rotation angle of the wristband is greater than a preset angle. If yes, execute step S2. Otherwise, determine whether it is timed out. If not, return to step S11. Otherwise, the identity authentication fails.

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Abstract

The invention provides a vein-based identity authentication method and a wristband. According to the method, dynamic vision sensors are adopted to collect vein features, and the dynamic vision sensorsare line array dynamic vision sensors; a vein feature collector comprises two line array dynamic vision sensors, the two line array motion dynamic vision sensors are perpendicular to each other in across shape, images collected by the dynamic vision sensors only contain effective information such as vein features and the like, and do not contain non-effective background information such as redundant skin and the like, after vein feature images are received, compared with a deep learning algorithm based on an ordinary vision sensor, only a few layers are needed to calculate vein feature vectors, which can greatly reduce the calculation amount of image processing, the power consumption is reduced, the method is suitable for integration, and the recognition effect is good.

Description

technical field [0001] The invention relates to the technical field of identity intelligent identification, in particular to a vein-based identity authentication method and a bracelet. Background technique [0002] Medical research has proved that the shape of veins is unique and stable. The vein recognition system has the characteristics of living body recognition, internal characteristics and non-contact, which ensures that the user's vein characteristics are difficult to be forged. It is far superior to fingerprint, iris, face and other recognition technologies in terms of high security, practicality and convenience. Therefore, the vein-based identity authentication is particularly suitable for places with high security requirements, especially the wrist vein identity authentication system. [0003] Existing vein-based wrist identity authentication systems usually collect vein images at fixed positions through image sensors, and then process the collected vein images thr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/32G06F21/35G06K9/00
CPCG06F21/32G06F21/35G06V40/10G06V40/14
Inventor 邓坚谌黎明
Owner 베이징루이스즈신테크놀러지코엘티디
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