Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Finger vein collection and identification method by means of multi-features

A technology of finger veins and finger vein features, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to achieve better recognition results, and the proportion of vein images is small, so as to increase complexity and reduce The effect of calculation amount and high recognition effect

Inactive Publication Date: 2011-02-16
710TH RES INST OF CHINA SHIPBUILDING IND CORP
View PDF4 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the vein recognition algorithm either adopts grayscale image processing or binary image processing to extract characteristic data, but due to the acquisition conditions and the different periods of the collected people, the grayscale images of the collected veins will have certain differences, and the veins Compared with the proportion of the whole image, it is impossible to achieve better recognition effect by simply using grayscale image or binary vein image to extract features

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
  • Finger vein collection and identification method by means of multi-features
  • Finger vein collection and identification method by means of multi-features
  • Finger vein collection and identification method by means of multi-features

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] The invention provides a method for collecting and identifying finger veins. The method includes two parts, one is a feature extraction part of finger veins, and the other is an identification part.

[0054] During the feature extraction process, the finger vein image is collected; the current finger vein image is preprocessed to obtain an image A; the image A is segmented into a multi-level grayscale image B with at least 3 stages using a multi-threshold segmentation technique, At the same time, the single-threshold segmentation technique is used to segment the image A into a binary image C; features are extracted from the image A, image B, and image C respectively, and the extracted features are connected end to end to form a vein feature chain, and saved.

[0055] In the identification process, the finger vein image of the identified person is collected; the finger vein image of the identified person is preprocessed and feature extracted using the same method as in the ...

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

The invention discloses a finger vein collection and identification method by means of multi-features, which converts a collected vein grayscale image into a grading grayscale image and a binary image and extracts features from the three images respectively to form a feature chain. The vein identification method in combination with multi-features can reach a higher identification effect. As brightness and brightness change value are inserted to the feature chain, the method can increase the complexity of features and the difficulty of true feature plagiarism. Furthermore, as the brightness feature of an infrared light source required by the same fingers varies within a small range, the error rate can be reduced effectively.

Description

technical field [0001] The invention relates to a method for collecting and identifying finger veins using multiple features, and belongs to the technical field of biological feature identification. Background technique [0002] Finger vein recognition technology is a new type of biometric recognition technology, which uses the different distribution of finger vein lines to achieve identity verification and protect the target. Compared with other biological characteristics, vein identification technology has the following characteristics: [0003] 1) Live recognition [0004] The principle of vein recognition technology is to collect vein images according to the characteristic of hemoglobin in blood that absorbs infrared light. Only when there is blood flow in the finger, the vein feature can be obtained for the living finger. The non-living finger cannot be recognized without the vein image feature, so the recognized biometric feature cannot be falsified. [0005] (2) Fi...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/36G06K9/00G06K9/20
Inventor 郭庆昌吴永刚陈金花胡国兵王小康
Owner 710TH RES INST OF CHINA SHIPBUILDING IND CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com