Robust iris region segmentation method based on specific boundary detectors

A robust iris and region segmentation technology, applied in the fields of instruments, character and pattern recognition, computer components, etc., can solve the problems of incompetent segmentation methods, unclear definitions of iris boundaries and noise edges, etc., to reduce the impact, avoid Parameter adjustment, the effect of improving the calculation speed

Active Publication Date: 2012-08-08
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF5 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Although the above methods have achieved good segmentation results in some iris images containing noise, they still have some defects: First, they have unclear definitions of iris boundaries and noise edges, so the iris boundary points selected by specific logic rules are likely

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
  • Robust iris region segmentation method based on specific boundary detectors
  • Robust iris region segmentation method based on specific boundary detectors
  • Robust iris region segmentation method based on specific boundary detectors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] 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.

[0033] In the actual application process of the iris recognition system, the iris image collected by the iris imaging device often contains many noisy areas, such as eyelids, eyelashes, mirror frames, light spots, etc., such as figure 1 shown. What is needed for iris recognition is only the iris area between the black pupil and the white sclera and not blocked by various noises, which is called the effective iris area in the iris image. The purpose of iris region segmentation is to accurately segment the effective iris region in the iris image. Iris region segmentation can determine the effective region by locating the inner and outer boundaries of the iris and the upper and lower eyelids, such as figure 1 shown.

[00...

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 robust iris region segmentation method based on specific boundary detectors, which comprises the following steps: S1, constructing a left and right inner boundary, left and right outer boundary and upper and lower eyelid boundary iris specific boundary training data set and a candidate feature set; S2, constructing the six iris specific boundary detectors by using a cascaded self-adaptive learning algorithm; S3, positioning an iris inner boundary by utilizing the left and right inner boundary detectors and weighted Hough transform; S4, positioning an iris outer boundary by utilizing the left and right outer boundary detectors and the weighted Hough transform; and S5, positioning an upper eyelid boundary by utilizing the upper and lower eyelid boundary detectors and a robust least square method. By utilizing the robust iris region segmentation method, an iris effective area can be accurately segmented in an iris image containing a lot of noise, so that the accuracy, the robustness and the usability of an iris identification system are improved. The robust iris region segmentation method can be widely applied to various application systems for identity recognition and security defense by using iris recognition.

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 robust iris region segmentation method based on a specific boundary detector. Background technique [0002] Iris recognition is an identification method based on the texture characteristics of the iris of the human eye to determine a person's identity. It has the characteristics of high uniqueness, strong stability, and non-invasiveness. It has been successfully applied to identity identification in airports, customs, banks and other occasions. [0003] In the actual application of the iris recognition system, the iris image collected by the iris imaging device often contains many noisy areas, such as eyelids, eyelashes, mirror frames, and light spots. What is needed for iris recognition is only the iris area between the black pupil and the white sclera and not blocked by various noises, which is called t...

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): G06K9/00G06K9/62
Inventor 谭铁牛孙哲南李海青
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
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