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Method and device for positioning iris image

An iris image and rough positioning technology, applied in the field of biometrics, can solve the problems of inability to guarantee final convergence, poor anti-interference ability, and low positioning accuracy, and achieve the effects of being less susceptible to interference, strong anti-interference ability, and high precision

Active Publication Date: 2016-01-20
山东眼神智能科技有限公司 +2
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Problems solved by technology

However, the positioning method based on the irregular boundary adopts an iterative method and depends on the selection of the initial value. Once the initial value exceeds the boundary, the method usually fails to detect, and even if a good initial value is given, the final convergence cannot be guaranteed. noise interference, which is often detected false edge
Low positioning accuracy, low generalization, and poor anti-interference ability

Method used

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  • Method and device for positioning iris image
  • Method and device for positioning iris image
  • Method and device for positioning iris image

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Embodiment Construction

[0041] In order to make the technical problems to be solved in the present invention, technical solutions and advantages clearer, the following will combine Attached picture and specific embodiments are described in detail.

[0042] On the one hand, the present invention provides a method for locating an iris image, like figure 1 shown, including:

[0043] Step S101: performing rough pupil positioning on the iris image.

[0044] In this step, a variety of methods can be used to roughly locate the pupil, locate the position of the pupil, and then expand the position of the pupil appropriately to obtain the rough position of the iris. This paper adopts the radial symmetric transformation method.

[0045] Step S102: Initialize the coordinates of multiple key points on the basis of rough positioning.

[0046] According to the results of rough positioning (including the center and radius of the pupil) to determine the initial position of the key point, we can obtain the init...

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Abstract

The invention discloses a method and a device for positioning an iris image. The method comprises the following steps: carrying out rough pupil positioning on the iris image; initializing coordinates of a plurality of key points based on rough positioning; extracting SIFT feature vectors of the key points; using an SDM algorithm to map the SIFT feature vectors of the key points into a coordinate increment; using the coordinate increment to update coordinate values of the key points; and using a robust regression method to carry out curve fitting on the key points to obtain parameters of an upper eyelid parabola, a lower eyelid parabola and an iris excircle. Compared with the prior art, the method for positioning the iris image disclosed by the invention is simple, convenient, high in speed, strong in anti-interference ability, high in precision, high in generalization performance and good in robustness.

Description

technical field [0001] The invention relates to the field of biological identification, in particular to a method and device for locating iris images. Background technique [0002] Eyelid positioning and iris positioning methods play an important role in the iris recognition system. The accuracy of the positioning method directly affects the iris feature encoding and matching process. An efficient, accurate and stable positioning method is an important criterion to measure the quality of the iris recognition system. [0003] In the iris recognition system, to extract the effective iris area in the human eye picture, the positioning of the upper and lower eyelids of the human eye and the positioning of the iris edge are essential. In practical applications, the storage of massive iris images must consider the limitation of storage space, which requires a certain compression of iris images. When compressing, we do not need to store irrelevant information. For iris images, in a...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/193G06V40/19
Inventor 张晓梦许猛张伟琳唐青松王琪
Owner 山东眼神智能科技有限公司
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