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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
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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

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

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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...

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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...

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Application Information

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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
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