Pupil center positioning method for iris recognition

A technology of iris recognition and center positioning, which is applied in character and pattern recognition, acquisition/recognition of eyes, instruments, etc. It can solve the problems of large amount of calculation, easy to be affected by noise, and low robustness, and achieve high robustness. Effect

Active Publication Date: 2016-10-12
北京极创未来科技有限公司
View PDF6 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

(1) Based on Daugman's integral-difference method, this method has high precision, but has a large amount of calculation and is susceptible to noise
(2) Based on the method of edge detection and Hough transform, this kind of method has high precision and strong robustness, but the amount of calculation is large
(3) The method based on Active Contour, which needs to specify the initia

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
  • Pupil center positioning method for iris recognition
  • Pupil center positioning method for iris recognition
  • Pupil center positioning method for iris recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] One, such as figure 1 As shown, the concrete implementation steps of a kind of pupil center location method for iris recognition described in the present invention are:

[0037] 1. Grayscale the original iris image:

[0038] For the color components r, g and b of each pixel of the original iris image F, use formula 1 to grayscale to obtain the grayscale iris image G.

[0039] gray=0.299*r+0.587*g+0.114*b (1)

[0040] Among them, gray represents the gray value of the image G at the corresponding position. This step is not performed if the original image is a grayscale image.

[0041] 2. Preprocessing the grayscale image

[0042] For the grayscale image G, median filtering is performed, and the result of the median filtering is opened, and the obtained result is denoted as G 1 ;

[0043] 3. Binarize the grayscale iris image:

[0044] For grayscale iris image G 1 , count its grayscale histogram H, that is, the number of occurrences of each grayscale value, and then...

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 relates to a pupil center positioning method for iris recognition. The method includes the following steps that: (1) graying processing is carried out on an original iris image; (2) a gray image is preprocessed; (3) binarization processing is carried out on the gray iris image; (4) a binary image is preprocessed; (5) edge detection is carried out on the binary image; (6) star type scanning is carried out on edge points, so that a polar coordinate distribution diagram is obtained; (7) Fourier series expansion is carried out; (8) the radius of curvature of the edge of the image is calculated, and the edge points are filtered; and (9) filtering results are voted, and a pupil center or location failure is outputted. According to the pupil center positioning method for iris recognition of the invention adopted, according to the gray and shape characteristics of a pupil in the infrared iris image, binarization and edge shape analysis are carried out, and problems in pupil center determination can be solved.

Description

technical field [0001] The invention relates to a pupil center positioning method, in particular to a pupil center positioning method for iris recognition, which is used for pupil positioning and segmentation in iris recognition. Background technique [0002] In modern society, personal identification is becoming more and more important, such as access control management, unit attendance, social assistance and online payment. Traditional identification methods are based on passwords and credentials, which are easy to forget and lose, so biometric identification emerged as a new identification technology. The basis of biometric identification is the physiological and behavioral characteristics of people, so it has the advantages of safety and convenience. [0003] As an important biometric identification technology, iris recognition has the characteristics of non-contact and high recognition accuracy. Iris recognition technology includes several main steps, namely preproces...

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): G06K9/00G06K9/40G06K9/46
CPCG06V40/193G06V10/30G06V10/44
Inventor 李春林单良李成山
Owner 北京极创未来科技有限公司
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