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Pupil center positioning method for iris recognition

A technology of iris recognition and center positioning, which is applied in character and pattern recognition, acquisition/recognition of eyes, instruments, etc. It can solve the problems of large amount of calculation, easy to be affected by noise, and low robustness, and achieve high robustness. Effect

Active Publication Date: 2016-10-12
北京极创未来科技有限公司
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Problems solved by technology

(1) Based on Daugman's integral-difference method, this method has high precision, but has a large amount of calculation and is susceptible to noise
(2) Based on the method of edge detection and Hough transform, this kind of method has high precision and strong robustness, but the amount of calculation is large
(3) The method based on Active Contour, which needs to specify the initial value and is susceptible to noise interference
The Canny operator uses non-maximum value suppression, which has a large amount of calculation; in the positioning, the calculation of image rotation and moment is also used, and the calculation amount is also very large; finally, the least square algorithm is used for fitting, which is effective for noise More sensitive, less robust

Method used

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  • Pupil center positioning method for iris recognition
  • Pupil center positioning method for iris recognition
  • Pupil center positioning method for iris recognition

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Embodiment Construction

[0036] One, such as figure 1 As shown, the concrete implementation steps of a kind of pupil center location method for iris recognition described in the present invention are:

[0037] 1. Grayscale the original iris image:

[0038] For the color components r, g and b of each pixel of the original iris image F, use formula 1 to grayscale to obtain the grayscale iris image G.

[0039] gray=0.299*r+0.587*g+0.114*b (1)

[0040] Among them, gray represents the gray value of the image G at the corresponding position. This step is not performed if the original image is a grayscale image.

[0041] 2. Preprocessing the grayscale image

[0042] For the grayscale image G, median filtering is performed, and the result of the median filtering is opened, and the obtained result is denoted as G 1 ;

[0043] 3. Binarize the grayscale iris image:

[0044] For grayscale iris image G 1 , count its grayscale histogram H, that is, the number of occurrences of each grayscale value, and then...

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Abstract

The invention relates to a pupil center positioning method for iris recognition. The method includes the following steps that: (1) graying processing is carried out on an original iris image; (2) a gray image is preprocessed; (3) binarization processing is carried out on the gray iris image; (4) a binary image is preprocessed; (5) edge detection is carried out on the binary image; (6) star type scanning is carried out on edge points, so that a polar coordinate distribution diagram is obtained; (7) Fourier series expansion is carried out; (8) the radius of curvature of the edge of the image is calculated, and the edge points are filtered; and (9) filtering results are voted, and a pupil center or location failure is outputted. According to the pupil center positioning method for iris recognition of the invention adopted, according to the gray and shape characteristics of a pupil in the infrared iris image, binarization and edge shape analysis are carried out, and problems in pupil center determination can be solved.

Description

technical field [0001] The invention relates to a pupil center positioning method, in particular to a pupil center positioning method for iris recognition, which is used for pupil positioning and segmentation in iris recognition. Background technique [0002] In modern society, personal identification is becoming more and more important, such as access control management, unit attendance, social assistance and online payment. Traditional identification methods are based on passwords and credentials, which are easy to forget and lose, so biometric identification emerged as a new identification technology. The basis of biometric identification is the physiological and behavioral characteristics of people, so it has the advantages of safety and convenience. [0003] As an important biometric identification technology, iris recognition has the characteristics of non-contact and high recognition accuracy. Iris recognition technology includes several main steps, namely preproces...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46
CPCG06V40/193G06V10/30G06V10/44
Inventor 李春林单良李成山
Owner 北京极创未来科技有限公司
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