Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Weighting comparison method for motion-blur iris recognition

A technology of motion blur and weighted comparison, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of not fully considering the special properties of moving iris images, reducing pertinence and robustness, etc., to achieve improved Reliability and Robustness, Visual Effects Enhanced Effects

Inactive Publication Date: 2014-02-12
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, in the process of image enhancement, they rely too much on the prior information of the image, and do not fully consider the special properties of the moving iris image, thus reducing its pertinence and robustness to a certain extent.

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
  • Weighting comparison method for motion-blur iris recognition
  • Weighting comparison method for motion-blur iris recognition
  • Weighting comparison method for motion-blur iris recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0063] Embodiment: the application of the weighted comparison method for motion blurred iris recognition of the present invention in the remote access control system based on iris recognition.

[0064] Assume that a set of long-distance iris access control system developed based on the present invention is installed at the entrance of a certain company or unit. When the system administrator registered Liu, an employee of the company, he used the high-quality iris image obtained when Liu cooperates with the collection equipment. As a registered template, it has crisp, rich texture detail. After that, when Liu wants to enter the unit through this access control system, Liu's identity needs to be authenticated. At this time, Liu can face up to the iris recognition and collection camera at a relatively long distance. The iris recognition system can input the collected iris image into the iris recognition system. In order to provide friendly human-computer interaction, the syste...

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 weighting comparison method for motion-blur iris recognition. The weighting comparison method comprises the steps as follows: S1, collecting and building a training set which comprises sharp and artificially-blurred iris images, obtaining ROIs (regions of interest) through preprocessing the training set, switching the ROIs under polar coordinate systems, performing feature extraction on the ROIs, comparing paired sharp and artificially-blurred iris images, obtaining general reliability maps of codes of motion-blur iris images, and normalizing the reliability maps to obtain weighting matching templates for motion blurs; and S2, obtaining the ROIs through preprocessing the iris images to be recognized, meanwhile, judging lengths and directions of the motion blurs, switching the ROIs to the polar coordinate systems, performing feature extraction on the ROIs, and adaptively performing weighting comparison on the weighting matching templates for the motion blurs obtained in the S1 and samples in a registry according to the lengths and the directions of the motion blurs of the iris images. According to the weighting comparison method, adverse effects caused by the motion-blur iris images on system recognition performance can be effectively reduced, and the system robustness can be improved.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, pattern recognition and statistical learning, in particular to a weighted comparison method for motion blur iris recognition. Background technique [0002] As a kind of biometric identification, iris recognition has high stability and accuracy, and has been greatly developed in recent years. At this stage, iris recognition in controllable scenarios has developed relatively maturely, and there are many successful application examples, especially in some large-scale and high-precision scenarios. However, for recognition systems in uncontrollable scenarios, such as long-distance, [0003] In the ongoing iris recognition system, there are still some problems that we have not completely solved, and these problems are mainly caused by the unsatisfactory quality of the iris image obtained. [0004] In the iris recognition system in an uncontrollable scene, due to the limitation of th...

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): G06K9/00
Inventor 谭铁牛孙哲南刘京
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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
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