Finger vein recognition method and system based on convolutional neural network and SIFT algorithm

A convolutional neural network and finger vein technology, which is applied in the field of biometric identification, can solve the problems that vein images are easily interfered by noise, the identification performance of authentication systems is limited, and the acquisition of finger vein images is difficult, so as to improve the identification ability and improve feature extraction. ability, the effect of improving safety

Pending Publication Date: 2021-04-02
西安格威西联科技有限公司
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Problems solved by technology

[0004] In the prior art, in the process of finger vein recognition, the traditional finger vein image recognition method is affected by many factors, and there are problems such as difficulty in obtaining finger vein images, easy noise interference of vei

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  • Finger vein recognition method and system based on convolutional neural network and SIFT algorithm
  • Finger vein recognition method and system based on convolutional neural network and SIFT algorithm
  • Finger vein recognition method and system based on convolutional neural network and SIFT algorithm

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Embodiment Construction

[0034] The present invention uses a finger vein recognition method and system based on a convolutional neural network and a SIFT algorithm to realize the purpose of finger vein recognition of user identities.

[0035] The applicant believes that using the superficial veins on the palm of the finger for identification has the advantages of safety, living body recognition, stability, anti-counterfeiting, and non-contact, but also has the following defects:

[0036] It is difficult to obtain finger vein images, and it is difficult to establish an effective mathematical model under the current database to extract appropriate finger vein features;

[0037] Vein images are susceptible to noise interference and affect the distribution of vein features in the image;

[0038] The scarcity of finger vein samples leads to the lack of specificity in the current manual design of finger vein features.

[0039] Therefore, it is difficult to effectively extract finger vein pattern informatio...

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Abstract

The invention provides a finger vein recognition method and system based on a convolutional neural network and an SIFT (scale invariant feature transform) algorithm, and the implementation process ofthe method comprises the following steps: firstly, obtaining a finger vein image of a to-be-recognized user through data collection; secondly, preprocessing the received original vein image information, and extracting a region of interest of the image; and finally, extracting vein image feature information of the finger of the user to be identified through a neural network in combination with a SIFI algorithm, and identifying the acquired finger vein image feature information of the user to be identified further, so that the purpose of identifying identity information corresponding to the finger vein information is achieved. According to the invention, the finger vein features can be effectively extracted, the redundancy of noise is improved, and the recognition precision of a finger veinrecognition system is obviously improved.

Description

technical field [0001] The invention relates to a finger vein recognition method and system based on a convolutional neural network and a SIFT algorithm, in particular to the technical field of biological feature recognition. Background technique [0002] Finger vein recognition is a kind of biometric technology, which uses the superficial veins on the palm of the finger for identification. As an emerging biometric method, finger vein recognition method has attracted widespread attention because of its high security, advantages in living body recognition and high specificity. [0003] The principle of finger vein biometric recognition is to use a special camera to obtain a finger vein image formed by the absorption of near-infrared light by deoxygenated hemoglobin in the blood. Then the image is converted and stored as a human body biometric authentication data template. During authentication, obtain the finger vein image of the user to be identified, generate biometric da...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06T5/50
CPCG06T5/50G06V40/10G06V40/14G06V10/449G06V10/44G06V10/462G06N3/045G06F18/214
Inventor 严如强侯博瑞沈飞
Owner 西安格威西联科技有限公司
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