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A method of iris recognition through neural network

A neural network and iris recognition technology, applied in the field of iris recognition, can solve the problem of low success rate of recognition

Active Publication Date: 2019-05-28
WANGMO TECH (WUHAN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the purpose of the present invention is to provide a method for iris recognition through a neural network, aiming at solving the technical problem that the recognition success rate of the existing iris recognition technology is slightly low

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  • A method of iris recognition through neural network
  • A method of iris recognition through neural network
  • A method of iris recognition through neural network

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0020] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0021] figure 1 A structure of an iris recognition system is shown, including a general information terminal, an infrared light source 2, an infrared camera 3 is arranged on the general information terminal 1, and the general information processing equipment includes but is not limited to a desktop computer, a notebook computer, Smartphones, tablet computers, smart wearables, smart watches, smart glasses, smart bracelets, automotive smart devices, etc. Specifically, an...

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Abstract

The present invention is applicable to the technical field of iris recognition, and provides a method for iris recognition through a neural network, including: designing and training five neural networks; taking a sample iris image through an infrared camera, and then searching for iris through the first to fourth neural networks Get the center and radius of the pupil, and the center and radius of the outer boundary of the iris, and finally get the sample iris code and save it; get the login iris code; compare the login iris code with the sample iris code through the fifth neural network to determine whether it comes from the same If the iris is alive, the authentication is passed. The present invention applies neural network technology to iris recognition, and realizes iris login authentication by designing and training five neural networks to find the pupil center and radius, iris outer boundary circle center and radius, and iris feature comparison, which is superior to the existing iris recognition technology.

Description

technical field [0001] The invention belongs to the technical field of iris recognition, and in particular relates to a method for iris recognition through a neural network. Background technique [0002] Iris recognition technology is based on the iris in the eye for identification. It is currently used in security equipment (such as access control, etc.) and places with high confidentiality requirements. [0003] The human eye structure is composed of sclera, iris, pupil lens, retina and other parts. The iris is the ring-shaped part between the black pupil and the white sclera, which contains many detailed features of interlaced spots, filaments, crowns, stripes, crypts, etc. And once the iris forms during fetal development, it remains constant throughout life. These features determine the uniqueness of iris features, and also determine the uniqueness of identification. Therefore, the iris feature of the eye can be used as the identification object of each person. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/04G06V40/197G06V40/193G06F18/214
Inventor 田露露
Owner WANGMO TECH (WUHAN) CO LTD
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