A method and system for detecting human iris in pictures
An iris-in-picture technology, applied in the acquisition/recognition of eyes, instruments, calculations, etc., can solve the problems of high pixel sampling, slow detection speed, inability to exclude eyelashes and eyelids, etc., to eliminate interference effects and speed up detection. Effect
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[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.
[0038] In this example, see figure 1 As shown, the present invention proposes a method for detecting the iris of the human eye in a picture, comprising steps:
[0039] (1) Use the client camera to acquire eye images.
[0040] The acquisition method of the eye image is as follows: detecting the human face through machine learning to obtain the key points of the detected human face, and extracting the eye key points to form the eye image.
[0041] The method for obtaining the eye image may also be, through user interaction, clicking on the screen to obtain the eye image.
[0042] (2) Convert the eye image into a grayscale image.
[0043] The eye image is an RGB image, and the eye image is converted into a grayscale image by using the values of the three channels of R, G,...
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