A method for quickly locating the iris of the human eye in the process of iris collection

An iris collection and iris technology, applied in the field of computer graphics, can solve problems affecting the speed and accuracy of iris recognition, unfavorable market promotion of iris recognition, and long iris positioning time, so as to facilitate debugging and improvement, reduce calculation amount, and reduce calculation amount Effect

Active Publication Date: 2020-06-26
JIANGSU UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Due to the high complexity of the algorithm, too long iris positioning time, too many sample noise points after preprocessing, the speed and accuracy of iris recognition are seriously affected by traditional iris recognition, which is not conducive to the market promotion of iris recognition

Method used

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  • A method for quickly locating the iris of the human eye in the process of iris collection
  • A method for quickly locating the iris of the human eye in the process of iris collection
  • A method for quickly locating the iris of the human eye in the process of iris collection

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Embodiment Construction

[0049] The implementation of the invention will be further described below in conjunction with the accompanying drawings.

[0050] Such as figure 1 Shown, the method for fast positioning human eye iris in a kind of iris collection process of the present invention, comprises the following steps and realizes:

[0051] 1) Iris sample image preprocessing process;

[0052] In the preprocessing of the iris sample image, first perform Gaussian smoothing on the iris sample image (take a 3*3 window Gaussian filter with a standard sigma value) and then process the sample image through a median filter, reduce the size of the median filter window, and filter out Noise from eyelashes, eyelids etc.

[0053] 2) to the iris image detection edge process after Gaussian smoothing and median filtering;

[0054] Through window sliding and edge detection operator template convolution, the gradient value of the center pixel of the current window is obtained, and the convolution window is continuo...

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Abstract

The invention discloses a method for quickly locating the iris of the human eye during the iris collection process. The method includes Gaussian smoothing, median filter processing, edge detection, non-maximum value suppression, double threshold value processing, and Hough transform flow. Innovatively in the field of iris positioning, Gaussian smoothing assisted improved fast median filter is used to preprocess the image, and then the fastest Sobel edge detection operator is used to extract iris edge features, and a large number of samples are trained for iris positioning to extract the best The high and low threshold parameters are subjected to double-thresholding processing, and then the binary image obtained after double-thresholding processing is compressed using the invariance of the human eye iris annular concentric circle compression structure, and finally the human iris is subjected to Hough transform for sample training to extract the most Optimal iris inner and outer edge search radius returns parameters. Performing Hough transform within this parameter can effectively reduce the number of edge pixel traversals and improve the efficiency and accuracy of iris positioning.

Description

technical field [0001] The invention relates to the field of computer images, in particular to a CAISA iris database of the Institute of Automation of the Chinese Academy of Sciences and a C++ image processing function, specified detection and positioning in images, and visual display of results. Background technique [0002] With the rapid development of network and information technology, information security issues have become increasingly prominent. The improvement of software and hardware technology has enabled the popularization and use of computers and intelligent electronic devices, and accelerated the penetration of network technology into all aspects of social life. Illegal acquisition of users' personal information through network technology happens from time to time, which is hard to prevent, which makes people pay more attention to the security of personal information. Traditional identity verification methods are based on passwords and certificate information....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/193
Inventor 朱玉全佘远程石亮
Owner JIANGSU UNIV
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