Finger vein verification method and device based on neural network and storage medium

A neural network and finger vein technology, applied in the field of neural network, can solve the problem of insufficient training samples for finger vein recognition, achieve the effect of solving the insufficient training samples and satisfying the effective solution

CN110738144APending Publication Date: 2020-01-31WUYI UNIV
2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2020-01-31

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a finger vein verification method and device based on a neural network and a storage medium. Finger vein verification is carried out by adopting a dual-channel network with only three convolution layers; the problem of insufficient training samples in finger vein recognition is effectively solved. According to the method, firstly, an original image is acquired, then the sensitivity to finger displacement in the original image is solved by extracting the minimum region of interest from the original image, and finally, the original image and the minimum region of interestare integrated by using a double-flow network, so that the problem of insufficient training samples in finger vein recognition is effectively solved, and the requirement of effective solution of a neural network is met.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of neural networks, in particular to a neural network-based finger vein verification method, device and storage medium. Background technique

[0002] As people have higher and higher requirements for identification, finger vein recognition, as an emerging biometric technology, has attracted widespread attention in the field of biometric authentication. Compared to other biometric technologies such as face, gait, and fingerprints, finger vein technology has some distinct advantages: higher user-friendliness, liveness detection, high security, and small device size, which makes it very Suitable for high security and user-friendly applications. In general, the verification process of finger veins includes the following four steps: image acquisition, preprocessing, feature extraction, and matching. Among these steps, feature extraction plays a key role.

[0003] Deep features learned from deep convolutional n...

Examples

Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] It should be noted that, if there is no conflict, various features in the embodiments of the present invention may be combined with each other, and all of them are within the protection scope of the present invention. In addition, although the functional modules are divided in the schematic diagram of the device, and the logical order is shown in the flowchart, in some cases, the division of modules in the device or the sequence shown in the flowchart can be performed in different ways. or the steps described.

[0036] The embodiments of the present invention will be further described below...