Iris recognition method based on KNN classification model

An iris recognition and classification model technology, applied in the field of iris recognition, can solve the problems of difficulty in ensuring the recognition accuracy and slow recognition speed of the iris image to be recognized, and achieve the effects of accurate recognition, speeding up training and improving recognition efficiency.

Pending Publication Date: 2022-07-15
HEFEI INNOVATION RES INST BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above method is difficult to guarantee the recognition accuracy of the iris image to be recognized obtained under different conditions, and when there are a large number of pictures stored in the database, the recognition speed will become very slow

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 KNN classification model
  • Iris recognition method based on KNN classification model
  • Iris recognition method based on KNN classification model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0039] An iris recognition method based on KNN classification model, such as figure 1 As shown, ① determine the position of the iris, and perform image preprocessing on the iris image.

[0040] Among them, determine the position of the iris, including:

[0041] Find the inner boundary of the iris by bilateral filtering, Gaussian filtering and Hough...

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 iris recognition, in particular to an iris recognition method based on a KNN classification model, and the method comprises the steps: determining the position of an iris, and carrying out the image preprocessing of an iris image; extracting a feature vector of the preprocessed iris image through a circular symmetry filter; carrying out dimension reduction processing on the extracted feature vectors; training a KNN classifier by using the feature vector after dimension reduction, and identifying the iris image to be identified by using the trained KNN classifier; according to the technical scheme provided by the invention, the defects that the recognition precision is difficult to guarantee and the recognition efficiency is relatively low in the prior art can be effectively overcome.

Description

technical field [0001] The invention relates to iris recognition, in particular to an iris recognition method based on a KNN classification model. Background technique [0002] At present, biometric technology has become more and more convenient for people's daily life. Many biometric features of the human body, such as face, fingerprint, palm print, iris, etc., their geometric shapes change very little in a person's life, so they can be used for identity recognition. And verification. Among them, the iris is a relatively stable biological feature, so iris recognition has become a popular direction of biological recognition technology research. [0003] Iris recognition includes iris localization, iris feature expression and feature recognition. In the prior art, after the iris feature is extracted, the Hamming distance between the iris picture to be queried and the database picture is calculated, and the iris is divided into the closest person. The above method is diffic...

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): G06V40/18G06K9/62G06V10/764G06V10/30
CPCG06F18/24147
Inventor 刘风光王传杰陈雷钱立兵洪伟
Owner HEFEI INNOVATION RES INST BEIHANG 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

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