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Method for positioning iris and pupil based on eye structure classification

A positioning method and technology of the human eye, applied in the field of image processing, can solve the problems of increasing the difficulty of precise positioning of the iris and pupil, hindering the promotion of long-distance non-invasive acquisition systems, reducing the recognition rate of such images, and improving the robustness. , the effect of reducing the search space

Active Publication Date: 2013-01-30
第三眼(天津)生物识别科技有限公司
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Problems solved by technology

Therefore, the difficulty of precise positioning of the iris and pupil is greatly increased, thereby reducing the recognition rate of such images and hindering the promotion of long-distance non-invasive acquisition systems

Method used

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  • Method for positioning iris and pupil based on eye structure classification
  • Method for positioning iris and pupil based on eye structure classification
  • Method for positioning iris and pupil based on eye structure classification

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Embodiment Construction

[0041] The present invention will be further described in detail below in combination with specific embodiments. The described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0042] like figure 1 As shown, the steps of the iris and pupil positioning method based on the human eye structure classification are as follows:

[0043] Step 1. Detect the face image in the image acquired by the iris acquisition system, and extract the human eye image from the face image:

[0044] Face detection in reduced-resolution images using a trained Haar wavelet feature cascade classifier;

[0045] If the face detection fails, no processing is performed;

[0046] If a human face is detected, use the trained Haar wavelet feature cascade classifier to detect human eyes within the range of human faces;

[0047] If two human eyes are detected, extract two human eye images each having one human eye;

[0048] If one huma...

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Abstract

The invention discloses a method for positioning an iris and a pupil based on eye structure classification. By the method, a face is detected in an image acquired by a system, and an eye image is extracted. Under a remote non-intrusive condition, the acquired eye image can be changed within an extremely large range, for example, the radius of the iris can be changed within dozens to hundreds of pixels. According to the method, before an iris boundary and a pupil boundary are precisely positioned, the eye image is automatically subjected to structural classification by an unsupervised learning technology; due to the classification, the iris and the pupil can be roughly positioned; the size of an iris region can be effectively estimated; stray data of a non iris boundary and a non pupil boundary are greatly eliminated; and a search space aiming at positions and sizes of the iris and the pupil is reduced. In the reduced search space, constrained optimization is performed according to fixed features of the iris and the pupil; and the optimal iris boundary and the optimal pupil boundary are searched. By the method, the stability and the precision of positioning of the iris and the pupil can be greatly improved; and the method is particularly suitable for a remote non-intrusive iris obtaining system.

Description

technical field [0001] The invention belongs to the technical field of image processing, pattern recognition and computer vision, relates to an automatic iris and pupil positioning method based on human eye structure classification, and is especially suitable for images obtained from long-distance non-invasive conditions. Background technique [0002] Compared with other methods of biometrics, iris recognition is more accurate, reliable and unique. Its information collection is contactless and thus very hygienic. The steps of iris recognition generally include the steps of human eye image acquisition, image preprocessing, iris and pupil positioning, iris feature extraction, and iris feature matching. [0003] If the face image is obtained in a long-distance non-invasive situation, the human eye image can vary in a large range. For example, the radius of the iris on the image can vary from tens to hundreds of pixels, but under close-range controllable conditions, the iris r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 黄新宇杨睿刚
Owner 第三眼(天津)生物识别科技有限公司
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