Identification recognizing method based on binocular iris

An identity recognition and iris technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as hindering the large-scale practical application of iris recognition technology, loss of effective information, interference of information, increase in diversity, etc. Robustness and accuracy, the effect of enhancing robustness, improving accuracy

Inactive Publication Date: 2007-09-12
HANGZHOU DIANZI UNIV
View PDF0 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the existing iris recognition technology, its excellent performance is based on the fact that an ideal iris image can always be collected; and the actual application environment is difficult to guarantee such a basis, which hinders the iris recognition technology. The main factors that promote large-scale practical application
This non-ideal iris image (the upper and lower eyelids block too much iris part; the angle between the center normal direction of the iris surface and the vi

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
  • Identification recognizing method based on binocular iris
  • Identification recognizing method based on binocular iris
  • Identification recognizing method based on binocular iris

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be further described below in conjunction with the examples.

[0016] The identification method based on the iris of both eyes of the present invention is as follows: firstly, the acquisition unit simultaneously acquires the grayscale images of the iris samples of both eyes; secondly, the image preprocessing unit performs iris localization on the two images, and uses the two left and right images while calculating the localization. The symmetry of the iris image is used to correct the positioning results of the pupil and iris, and then the left and right iris parts are segmented from the original image according to the positioning results. After normalizing the left and right iris parts, the normalized left and right iris parts are The right iris part is input into the feature extraction unit; then the feature extraction unit uses one-dimensional Gaussian complex wavelet to extract the phase information of the iris texture, and after binary enc...

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 present invention relates to the identification method based on eyes iris. Specific steps are: first collecting iris images to the eyes at the same time, respectively positioning processing, and using the eyes symmetry, mutually correcting position parameters of the pupil and the iris in the process of positioning of the left and right images of the iris, optimizing the result of iris location; According to the position results, carrying out the division, the normalization and the feature extraction in order to obtain the characteristics template of their eyes iris; finally matching the features templates of the database and the left and right eyes iris respectively, and calculating the results of the ultimate recognition by the fusion algorithm of the data of matching tier. This invention makes use of the stability of repeated acquisition and the more rich texture information brought by the eyes iris, further improves the robustness and the accuracy of the iris identification.

Description

technical field [0001] The invention belongs to the technical field of biometric identification and information security, and particularly relates to an identification method based on iris of both eyes. Background technique [0002] Because of the inherent characteristics of biometrics (fingerprint, iris, face, etc.), biometric identification technology makes it possible to surpass and replace traditional identification technology, and it has been promoted in specific application fields in some countries and regions. and use. Among them, iris recognition is particularly outstanding in the accuracy of identity recognition. At the same time, because of its unique physiological structure, iris recognition technology has the potential to build a safer social environment. However, for the existing iris recognition technology, its excellent performance is based on the fact that an ideal iris image can always be collected; and it is difficult to guarantee such a foundation in prac...

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 叶学义
Owner HANGZHOU DIANZI UNIV
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