Segmentation method of iris region in iris image based on Mask R-CNN neural network
An iris image and neural network technology, applied in the field of iris area segmentation, can solve the problem of not clearly locating the inner and outer boundary circles of the iris area, and achieve the effect of eliminating the preprocessing process, improving the accuracy and high precision.
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[0052] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0053] See Figure 1-5 , A segmentation method of the iris region in the iris image based on Mask R-CNN neural network, including the following steps (see flow chart figure 1 ):
[0054] S100: Establish an improved Mask R-CNN neural network for iris segmentation, and the input of the neural network is the iris image to be segmented;
[0055] S200. Before training the neural network, label a sample iris image set for training, the labeling ...
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