A vein-based identity authentication method and bracelet

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

Active Publication Date: 2021-10-15
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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  • A vein-based identity authentication method and bracelet
  • A vein-based identity authentication method and bracelet
  • A vein-based identity authentication method and bracelet

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] Please refer to figure 1 , An intravenous identity authentication method, including steps:

[0084] S1, receive the identity authentication request sent by the touch sensor disposed on the bracelet, start timing according to the identity authentication request;

[0085] The user can activate the identity authentication process by pressing and holds the touch sensor, in order to prevent misoperation, one touch sensor can be provided on both sides of the bracelet, only two touch sensors are pressed, and the identity of the bracelet is launched. Certification process;

[0086]S2, the receiving bracelet is provided in the vein feature image transmitted by the vein feature collector in the end of the bracelet during the rotation process, according to the vein feature image, using the depth learning algorithm to obtain a corresponding first vein feature vector, wherein the present Some depth learning algorithms are processed by the received intravenous feature image to obtain a v...

Embodiment 2

[0092] This embodiment is different from the examples in:

[0093] The step S1 also includes collecting pre-stored venous feature vents, specifically Figure 4 Down:

[0094] S0, it is determined whether the bracelet is used in the initial use, in particular, after the initial charging, the system self-test, it is determined whether or not it is initially used. If so, step S01 is executed, otherwise, step S02 is performed;

[0095] S01, the receiving the bracelet along the vein feature image transmitted by the dynamic visual sensor during the arm direction, according to the vein feature image, using the depth learning algorithm to obtain the corresponding third vein feature vector, the third vein feature vector The venous feature vector set is stored and end the acquisition pre-stored venous feature vector step;

[0096] S02, it is determined whether or not to open the daily vein feature vector acquisition function.

[0097] S021, it is judged whether or not the venous feature vect...

Embodiment 3

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

[0103] S11, it is determined whether the angle of the bracelet rotation is greater than a predetermined angle. If yes, step S2 is performed, otherwise, it is determined whether or not it is timeout, if not, return step S11, otherwise, identity authentication failed.

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Abstract

The present invention provides a vein-based identity authentication method and a wristband. A dynamic vision sensor is used to collect vein features, and the dynamic vision sensor is a linear array dynamic vision sensor. The vein feature collector includes two linear array dynamic vision sensors. The sensor, the two linear array dynamic vision sensors are arranged perpendicular to each other in a "cross" shape, and the images collected by the dynamic vision sensor only contain valid information such as vein features, and do not contain redundant skin and other invalid background information. After receiving the vein feature image, compared with the deep learning algorithm based on the ordinary visual sensor, the calculation of the vein feature vector can be realized with only a few layers, which can greatly reduce the calculation amount of the image processing and reduce the Power consumption, suitable for integration, and good recognition effect at the same time.

Description

Technical field [0001] The present invention relates to the field of identity intelligence identification, and more particularly to an intravenous identity authentication method and a bracelet. Background technique [0002] Medical research demonstrates that the shape of veins has uniqueness and stability. The vein identification system is characterized by the characteristics of living identification, internal characteristics, and non-contact formulas, ensuring that the user's venous feature is difficult to be forged, and the highly safe and practical convenience is conveniently wins the fingerprint, iris, facial identification technology. Therefore, intravenous identity authentication is particularly suitable for venues used in high security requirements, especially the wrist vein identity authentication system. [0003] Existing intravenous wrist identity authentication systems are typically acquired by image sensors, and then process the collected vein images by image processi...

Claims

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Application Information

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Patent Type & Authority Patents(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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