Iris positioning method based on Maximum between-Cluster Variance and gray scale information

A technology of grayscale information and iris positioning, applied in the field of image processing, to achieve the effect of improving positioning time and avoiding dependence

Inactive Publication Date: 2009-02-04
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
View PDF0 Cites 52 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above two existing iris positioning methods, because the iris area is often blocked by the eyel...

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 positioning method based on Maximum between-Cluster Variance and gray scale information
  • Iris positioning method based on Maximum between-Cluster Variance and gray scale information
  • Iris positioning method based on Maximum between-Cluster Variance and gray scale information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to describe the content of the present invention conveniently, some terms are defined first.

[0037] Definition 1: Iris. The center of the eyeball is the black pupil, and the ring-shaped tissue between the outer edges of the pupil is the iris. It presents interlaced texture features resembling spots, filaments, striations, and crypts. The iris of the same person hardly changes throughout a person's life, and the iris of different people is completely different.

[0038] Definition 2: Grayscale image. An image that contains only luminance information in the image without any other color information.

[0039] Definition 3: Binarization threshold. The grayscale threshold value used when binarizing the image.

[0040] Definition 4: Binarization. The process of converting all values ​​of the entire image into only two values, generally these two values ​​are 0 and 1 or 0 and 255. When the value on the image is greater than or equal to the threshold value of ...

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 adopts the between-class square error and the gray scale information to realize the rapid positioning of the inside and outside boundaries of the iris. Firstly, the interested pupil region is extracted through blocking; the between-class square error is adopted to obtain the pupil binary threshold for the extracted pupil region; then the inside boundary of the iris is positioned accurately through the searching of the boundary points and the curve fitting; the interested region of the iris outside boundary is extracted according to the prior knowledge and the pupil position parameter; the selected region is processed with median filtering and first-order gradient conversion; the iris outside boundary is determined through the local gradient integration method; finally, the iris outside boundary parameter is determined through the circle fitting. The method avoids the image binary from depending on the histogram; the image positioning time is greatly improved because only the interested region is processed; the whole image is not processed; the experiment indicates that the robustness and the positioning efficiency of the algorithm can satisfy the real-time processing requirement of the image.

Description

【Technical field】 [0001] The invention belongs to the technical field of image processing, and mainly relates to an iris positioning method based on maximum inter-class variance and grayscale information in biological feature recognition. 【Background technique】 [0002] In today's information age, how to accurately identify a person's identity and protect information security is a key social problem that must be solved. For this reason, biometric identification technology has quietly emerged, and has become a frontier research topic in the field of information security management in the world. Biometric identification technology refers to the use of the inherent physiological or behavioral characteristics of the human body for personal identification. Iris identification technology is a branch of biometric identification technology. It is the application of computer image processing technology and pattern recognition technology in the field of personal identification techno...

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
Inventor 马争黄祎
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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