A finger vein image recognition method based on fusion of local coding and a CNN model

A local coding and finger vein technology, which is applied in character and pattern recognition, biological feature recognition, biological neural network models, etc., can solve the problems of high learning cost of network models and reduced network performance, so as to improve matching efficiency and reduce learning costs , the effect of reducing the number of parameters that can be learned

Active Publication Date: 2019-01-11
CIVIL AVIATION UNIV OF CHINA
View PDF7 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the large number of learnable parameters of the existing convolutional neural network model, the learning cost of the network model is high, and there may be a problem of overfitting

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A finger vein image recognition method based on fusion of local coding and a CNN model
  • A finger vein image recognition method based on fusion of local coding and a CNN model
  • A finger vein image recognition method based on fusion of local coding and a CNN model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The finger vein image recognition method based on the fusion of local coding and CNN model provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] The finger vein image recognition method based on fusion local coding and CNN model provided by the present invention includes the following steps carried out in order:

[0048] 1) Extract ROI (Region of Interest) from all collected finger vein images to obtain finger vein ROI images, and then normalize the finger vein ROI images to 96*208, thus completing the preprocessing of finger vein images and obtaining the preprocessed The processed finger vein ROI image;

[0049] 2) Use the encoding operator based on the weighted symmetric local graph structure to perform feature encoding on the above-mentioned preprocessed finger vein image, and obtain the feature value of the central pixel in the image:

[0050] Considering that finger vein...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

A finger vein image recognition method based on fusion of local coding and CNN model is proposed. The method comprises the following steps: extracting the finger vein image from the finger vein image;using the encoder based on weighted symmetric local graph structure to encode the image: the reconstructed encoded convolutional filter is obtained; establishing an improved convolution neural network mode; performing feature extraction of a digital vein ROI image; measuring the similarity of the ROI images of digital veins to be matched. The finger vein image recognition method integrating the local coding and the CNN model provided by the invention can not only solve the problem of variable finger posture to a certain extent; experimental results on two finger vein databases show that the proposed method is feasible to some extent, which not only has good matching effect, but also reduces the number of parameters that can be learned, reduces the learning cost and improves the matching efficiency.

Description

technical field [0001] The invention belongs to the technical field of finger vein image recognition, in particular to a finger vein image recognition method that integrates local coding and a CNN model. Background technique [0002] With the rapid development of computer technology and the advent of the information age, traditional biometric identification technology can no longer meet people's needs, and people's requirements for the accuracy of identification technology are getting higher and higher. Compared with other biometric identification technologies (such as: face, fingerprint, iris and palm print, etc.), finger vein has the advantages of vitality, uniqueness, user-friendliness and long-term invariance. In addition, since the finger vein is located under the skin, the image of the finger vein is usually collected using near-infrared (NIR) imaging, so the finger vein is non-contact and difficult to be copied and forged. In recent years, finger vein recognition tec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04
CPCG06V40/10G06V10/25G06N3/045G06F18/2411
Inventor 杨金锋李树一张海刚
Owner CIVIL AVIATION UNIV OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap