Iris recognition method based on wavelet transform and maximum detection

An iris recognition and wavelet transform technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as insufficient practical value and innovation, and achieve the effect of improving clarity, increasing dynamic range, and enhancing contrast.

Inactive Publication Date: 2006-12-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In China, many algorithms have emerged in recent years, but generally speaking, the practical value and innovation are not enough

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 recognition method based on wavelet transform and maximum detection
  • Iris recognition method based on wavelet transform and maximum detection
  • Iris recognition method based on wavelet transform and maximum detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Adopt the method of the present invention, use the iris library of the Institute of Automation, Chinese Academy of Sciences as a test sample. Select 100 irises from the library, and select two images for each iris, a total of 200 images, divided into two groups A and B, each group has 100 different iris images. For each image in group A, there is only one image in group B that is the same as it. According to the algorithm provided by the present invention, do 100 * 100 tests, the false rejection rate that obtains the test result is 2%, the false acceptance rate is 0.33%, consider that the false rejection rate and the false acceptance rate are all misidentification results, so the test result obtains A recognition rate of 97.67% was achieved.

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 an iris recognize method, which comprises: normalizing the positioned iris pattern into image matrix m; then shearing out the part matrix M with import pattern character in m, to be histogram balanced to obtain the image strengthen matrix N; dividing matrix N to calculate average value; then connecting the average values end-to-end to form character signal f (x); using first-order derivative of gauss function as small wave to coil the f (x) while the size factor S=1, 2, to obtain vectors t1 and t2; connecting t1 and t2 end-to-end, to form vector v; in the vector v, processing local model maximum checking, to obtain iris pattern character code binary valued vector V used to match and recognize; then comparing the Haiming distance between character codes V1 and V2 of two iris patterns, if it is lower than threshold value T, said two iris pattens are matched; or else, they are not matched. The invention can overcome the patter deformation; image translation and rotation caused by zoom pupil, with simplified calculation and improved recognize speed.

Description

technical field [0001] The invention relates to an iris recognition method based on wavelet transform and maximum value detection, which belongs to the technical field of image signal processing, and in particular relates to an iris recognition method in biometric technology. Background technique [0002] Identification technology is widely used in military, banking, security and other departments. Many biological characteristics of the human body are unique, and no two people will be the same. These traits are ultimately determined by genes. In engineering, these features can be used for identity identification, such as fingerprint recognition and face recognition with a long history. Due to the uniqueness of iris characteristics, it is not affected by genetic error factors (such as twin relationship, etc.) and expressive factors (such as facial features change with age), it is difficult to replicate, and the identification information is easy to obtain. Iris recognition ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 马争张宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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