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Cosmetic contact lenses recognition method and system based on deep learning

A technology of deep learning and recognition method, applied in the field of biometrics, can solve the problems of poor robustness of the inspection algorithm and low recognition rate of cosmetic contact lenses, and achieve the effect of improving the recognition rate

Active Publication Date: 2020-03-24
WUHAN HONGSHI TECH
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  • Abstract
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Problems solved by technology

[0006] The embodiment of the present invention provides a method and system for identifying color contact lenses based on deep learning to solve the defects of low recognition rate and poor robustness of the inspection algorithm for detection of color contact lenses in the prior art

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  • Cosmetic contact lenses recognition method and system based on deep learning
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  • Cosmetic contact lenses recognition method and system based on deep learning

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0043]Since the human eye structure is composed of sclera, iris, pupil lens, retina and other parts, the iris is a ring-shaped part located between the black pupil and the white sclera, which contains many interlaced spots, filaments, crowns, and stripes. , crypts, etc.; and after the iris is formed in the fetal development stage, it will remain u...

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Abstract

The embodiment of the invention provides a cosmetic contact lenses recognition method and system based on deep learning. The method comprises the steps that a to-be-detected eye area image of a to-be-detected object is acquired; a to-be-detected iris image of the to-be-detected eye area image is obtained; after image processing is carried out on the to-be-detected iris image, a local binary imageto be detected is obtained; the to-be-detected local binary image is input into the deep learning network model, and a to-be-detected object recognition result corresponding to the to-be-detected eyeregion image is obtained; wherein the deep learning network model is obtained by training based on sample images of iris image training samples and corresponding detection object result tags, and thedetection object result tags are predetermined according to the iris image training samples and are in one-to-one correspondence with the sample images. According to the cosmetic contact lenses recognition method and system based on deep learning provided by the embodiment of the invention, the recognition rate of cosmetic contact lenses detection and the robustness of a detection algorithm are effectively improved.

Description

technical field [0001] The present invention relates to the technical field of biometric identification, in particular to a method and system for identifying color contact lenses based on deep learning. Background technique [0002] Traditional identity authentication mainly confirms identity information through signatures, seals, certificates, passwords and other methods. However, these authentication methods have more or less certain defects. Signature authentication is easy to be forged, seal authentication and certificate authentication are easy to lose, and passwords are easy to be stolen and forgotten, all of which will bring great insecurity to people's daily life. [0003] Human biometrics recognition has become a foreword research technology in the current field of identification. As a unique feature formed by innate existence and acquired behavior habits, it is mainly divided into human biological characteristics and behavioral characteristics. Among them, biologi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/197G06V40/193G06V10/44G06V10/467G06N3/045G06F18/23213G06F18/214
Inventor 高俊雄易开军托马斯·费尔兰德斯刘坤蒋海岳杨华
Owner WUHAN HONGSHI TECH
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