A finger vein image anti-counterfeiting identification method and device

A finger vein and image technology, which is applied in the field of finger vein image anti-counterfeiting identification method and device, can solve the problem of low accuracy of finger vein image anti-counterfeiting identification, and achieve the effect of improving identification performance and improving accuracy

Pending Publication Date: 2018-04-10
CHONGQING TECH & BUSINESS UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are many anti-counterfeiting identification algorithms for finger veins, such as binary statistical image feature (BSIF), Rice transform (RT), local binary pattern

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 anti-counterfeiting identification method and device
  • A finger vein image anti-counterfeiting identification method and device
  • A finger vein image anti-counterfeiting identification method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0142] Examples:

[0143] (1) The collection and labeling of finger vein images are as follows:

[0144] The images in the sample set are from the "Spoofing-Attack Finger VeinDatabase" (https: / / www.idiap.ch / dataset / fvspoofingattack) of the Idiap Institute in Switzerland. The real and fake finger vein images in the database are from 440 images generated by 110 human bodies, and each person’s left and right index fingers are collected twice, resulting in a total of 880 vein images. This is divided into 3 parts, namely training set, verification set, and test set. Among them, there are 120 real and fake finger vein images in the training set, 240 in total, and 120 real and fake finger vein images in the verification set, 240 in total. The collection contains a total of 400 real and fake finger vein images, each with a size of 150*565 pixels. The training set is used to train the DBN model and the BP neural network model, the validation set is used to estimate the threshold, and 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 provides a finger vein image anti-counterfeiting identification method and device. The method comprises the steps of: S1, collecting finger vein images and performing true and false marking on the collected images; S2; dividing the marked true and false images into a training set, a verification set and a testing set, wherein the images in the training set are obtained by performingpartitioning operation on the marked images; S3, performing DBN model building and training; S4, performing BP model building and training; S5, extracting the characteristics of all hidden layers in the BP model; S6, inputting the extracted characteristics of all the hidden layers, as multi-layer feature vectors of the input images, into an SVM model for training and determining SVM parameters; S7, fusing true and false scores of all the blocks of each image to calculate an overall score and judging whether a finger vein image is true for false via the overall score. The method and the devicecan effectively improve the accuracy of finger vein image anti-counterfeiting identification and improve the security performance of certification systems.

Description

technical field [0001] The invention relates to the technical field of biological feature identification, in particular to a method and device for anti-counterfeit identification of finger vein images. Background technique [0002] With the widespread application of Internet technology and the increasing rampant of terrorist activities, how to effectively identify identities to protect personal and property safety has become an urgent problem to be solved. Compared with traditional authentication methods such as keys and passwords, biometrics based on physiology and behavior are difficult to be stolen, copied and lost. Therefore, biometric authentication technology has been extensively studied and successfully applied to personal identity authentication. Biometrics currently used for identity authentication are mainly divided into two types: (1) external features: face, fingerprint and iris. (2) Internal features: finger veins, palm veins and dorsal hand veins. Intrinsic ...

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): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/10G06V40/14G06N3/048G06F18/214
Inventor 秦华锋刘霞
Owner CHONGQING TECH & BUSINESS UNIV
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