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Method of fast and effective cutting apart vivi iris

A fast and living technology, applied in the field of image processing, can solve the problems of low accuracy of outer circle positioning and long time of positioning algorithm, and achieve the effect of speed improvement and high speed

Inactive Publication Date: 2006-06-28
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the traditional iris internal and external circle positioning algorithm time is too long and the positioning accuracy of the external circle is not high and affect the follow-up recognition accuracy, to provide a fast and effective live iris segmentation method

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  • Method of fast and effective cutting apart vivi iris
  • Method of fast and effective cutting apart vivi iris
  • Method of fast and effective cutting apart vivi iris

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Embodiment Construction

[0041] The technical solution of the present invention will be further described in detail below in conjunction with a specific embodiment. In order to verify the effectiveness of the present invention, the iris image used in the embodiment adopts the public iris library. The whole implementation process is as follows:

[0042] (1) Binarization, that is, according to the grayscale projection method, determine the gray value of the inner point of the pupil, and then use the threshold method to binarize the iris image. The result of binarization is as follows: figure 2 (b) shown.

[0043] (2) Denoising, since a circle is used to fit the pupil, so the morphological method can be used for denoising, that is, the binary image is denoised by erosion and expansion operations, and the disc operator is used for denoising to obtain the denoising The binarized image after noise, such as figure 2 (c) shown.

[0044] (3) Edge detection, that is, using the Sobel operator to perform ed...

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Abstract

A quick and effective segment method for a human iris image in an image process technology includes: 1, determining a binary threshold value based on a gray projection method then to carry out binary quantization to the original images, 2, eliminating noises of the binary images with the morphologic method, carrying out edge test to the image after eliminating noises by Sobel operator, 4, determining the parameter of the pupil to segment the pupil with the theory of string crossing and determining a circle by three points, 5, determining sphere around the iris based on the parameter of the pupil, 6, reducing area of the iris pro rata and carrying out the edge test in the vertical direction with an improved Canny operator, 7, further eliminating noise information of the pupil region and part of the eyelashes and eyelids, 8, carrying out location of a circle to the reduced edge image by the Hough transformation, 9, calculating the parameter of the original iris outer circle from the parameter of the reduced circle.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a fast and effective live iris segmentation method. Background technique [0002] Living iris segmentation is one of the most important links in the iris recognition system. Under the existing image acquisition conditions, the iris image obtained by the CCD camera cannot contain only the iris, but also contains other information, such as pupils, sclera, eyelashes, eyelids etc. Iris segmentation is mainly to segment the effective iris area from these noises. The accuracy of iris segmentation determines the performance of the entire iris recognition system. It not only determines whether the subsequent process can continue, but also determines whether the extracted features are effective and the encoding is accurate. , so it finally determines the iris recognition result. The current iris segmentation methods are mainly divided into two categories, one is the...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 施鹏飞何孝富
Owner SHANGHAI JIAO TONG UNIV
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