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

Method for deblurring iris image

An iris image and deblurring technology, which is applied in image enhancement, image data processing, character and pattern recognition, etc., can solve the problems of inaccurate image noise modeling and unsatisfactory image deblurring effect

Active Publication Date: 2012-07-04
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Finally, due to the inaccuracy of point spread function estimation and image noise modeling, the effect of image deblurring is not very ideal

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
  • Method for deblurring iris image
  • Method for deblurring iris image
  • Method for deblurring iris image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0056] The present invention proposes a method for deblurring iris images. The method proposed by the present invention is completely realized by computer software, without improving hardware equipment, and can be used in various iris image recognition systems. The flow chart is as follows figure 1 shown, including the following steps:

[0057] Step S1, analyzing the input iris image, judging that the blur of the iris image belongs to defocus blur or motion blur, and then initializing a point diffusion function according to the judging result;

[0058] Ste...

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 method for deblurring an iris image, which comprises the following steps of: a step S1, analyzing the input iris image, judging blur of the iris image belongs to defocus blur or motion blur and initializing according to a judging result to obtain a point spread function; a step S2, selecting the gradient of the input iris image so that the point spread function can be more effectively estimated on a selected gradient map, and further modifying the initialized point spread function on the basis of selected gradient information; and a step S3, on the basis of the modified point spread function, repairing the blurring iris image. According to the method, the adverse effect of the blurring iris image on the identification performance of a system can be effectively reduced, and the method can be widely applied to an iris identification system so as to improve the robustness and the reliability of the system and relax the requirement for a user.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, pattern recognition, statistical learning and the like, in particular to a method for deblurring iris images. Background technique [0002] With the development and progress of society, people have higher and higher requirements for the reliability of identity authentication. Due to the various advantages of biometrics, researchers have recently proposed many authentication methods based on biometrics. Among them, iris recognition is especially suitable for people's identity authentication and identification because of its high uniqueness, strong stability, non-invasiveness and other advantages, and there have been many very successful applications, especially in large-scale and high-level applications. Where precision is required. [0003] The iris-based identity authentication system obtains the iris image from the iris imaging device and then analyzes it to complete the aut...

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): G06T5/00G06K9/00
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 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