The invention relates to the technical field of
image segmentation, and provides a segmentation method of an iris region in an
iris image based on a
Mask R-CNN neural network which comprises the stepsof S100, S100, establishing an improved
Mask R-CNN neural network for iris segmentation S200, before training the neural network, marking a sample
iris image set for training; S300, respectively inputting the labeled sample iris images into a neural network, and training the neural network until convergence; S400, inputting the
iris image that needs to be segmented by the iris region into the improved
Mask R-CNN neural network that completes the training, and acquiring the
double circle boundary information and the binary
mask map of the iris region; and S500, completing iris segmentation according to the double-circle boundary information of the iris area obtained in the step S400 and the binary
mask map. The invention realizes
automatic learning to obtain a normalized iris image and aniris region binary
mask by using the improved Mask R-CNN neural network in iris segmentation and localization. Accurate iris area double-circle boundary information can also be obtained, and subsequent
iris recognition operation is facilitated.