A living body detection method based on pupil grayscale
A living body detection and pupil technology, which is applied in the field of image processing, can solve the problems of un-pupil image utilization, etc., and achieve good detection effect, small calculation amount and fast detection speed
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[0018] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0019] When the iris collection program carries out iris collection, live body detection is carried out through the pupil image information in the user's eye image, and the pupil image information includes the average gray scale of the pupil, and the live body detection process of the iris collection program includes steps:
[0020] S101 Metering light in the user's eye region, and shooting a first user image with normal exposure.
[0021] S102 performing image segmentation on the eye area of the first user image to obtain the first pupil area:
[0022] Detect whether there is a human eye in the first user image, and if so, perform image segmentation on the eye area in the first user image to obtain a first pupil area.
[0023] S103 calculates the first average gray level of the first pupil area:
[0024] Detect whether there is a...
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