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

Iris image blurring determination method and device

A technology of iris image and fuzzy judgment, applied in the field of biometrics, can solve the problems of not paying attention to the distribution of gradients and slow speed, and achieve the effect of fast judgment speed, fast operation speed and high accuracy rate

Active Publication Date: 2015-12-16
BEIJING EYECOOL TECH CO LTD +1
View PDF3 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Most of the above-mentioned methods based on gradient changes and methods based on global spatial filtering focus on the direct description of edge gradients, not on the distribution of gradients. The methods based on regions of interest require more complex image processing and classification algorithms, so slower

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
  • Iris image blurring determination method and device
  • Iris image blurring determination method and device
  • Iris image blurring determination method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0039] The invention provides a method for iris image blur judgment, such as figure 1 shown, including:

[0040] Step S101: using radial symmetric transformation to locate the position of the pupil in the iris image;

[0041] Various algorithms in the prior art can be used to locate the pupil. Generally, the center and radius of the pupil need to be obtained to locate the pupil; the present invention uses radial symmetric transformation to locate the pupil in the iris image, which can avoid the spot , eyelashes, hair and other noises on the iris image fuzzy judgment, strong anti-interference ability, high accuracy;

[0042] Step S102: Intercepting the region of interest in the iris image, the region of interest includes the pupil boundary and the pupil...

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 an iris image blurring determination method and device. The method comprises steps of using radial symmetry transform to position pupils in an iris image; capturing an area of interest in the iris image, wherein the area of interest comprises a pupil boundary and pupils and irises at two sides of the pupil boundary; performing Gaussian fitting of the gradient value of the area of interest in the pupil radius direction, so as to obtain a blurring grade which is a divergence parameter of a Gaussian function obtained by fitting; and determining whether the blurring grade is larger than a blurring grade threshold or not, and if so, determining the iris image as a blurring one. Compared with the prior art, the method provided by the invention is higher in determination accuracy and faster in operation speed, and improves the iris identification performance.

Description

technical field [0001] The invention relates to the field of biometric identification, in particular to a method and device for judging blurred iris images. Background technique [0002] In recent years, iris recognition has gradually become an important means of identity authentication and identification. When the user cooperates appropriately, the iris recognition method can achieve better recognition results. However, in practical application scenarios, it is difficult to ensure that users maintain a cooperative state within a certain period of time. Therefore, in the process of collecting iris images, it is inevitable to obtain iris images that do not meet the requirements for identification and authentication. In order to ensure the accuracy and stability of iris recognition and make it easy for users to use, it is necessary to design a fast and effective iris image quality evaluation method. [0003] Among the factors affecting iris image quality, blurring is the mos...

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): G06K9/00
CPCG06V40/193
Inventor 郇淑雯蔡振林张伟琳王琪
Owner BEIJING EYECOOL TECH CO LTD
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