A 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 region segmentation, can solve the problem of not clearly locating the inner and outer boundary circles of the iris region, and achieve the effect of eliminating the need for preprocessing, high precision, and improved accuracy

Active Publication Date: 2020-12-29
DUKE KUNSHAN UNIVERSITY
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Problems solved by technology

However, the problem with such methods is that they do not explicitly locate the inner and outer boundary circles of the iris region

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  • A Segmentation Method of Iris Region in Iris Image Based on Mask R-CNN Neural Network
  • A Segmentation Method of Iris Region in Iris Image Based on Mask R-CNN Neural Network
  • A Segmentation Method of Iris Region in Iris Image Based on Mask R-CNN Neural Network

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[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. 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.

[0053] see Figure 1-5 , a method for segmentation of iris regions in an iris image based on Mask R-CNN neural network, comprising the following steps (flowchart see figure 1 ):

[0054] S100, establishing an improved Mask R-CNN neural network for iris segmentation, the input of the neural network is an iris image to be segmented;

[0055] S200, before training the neural network, label the sample iris image set for training, the labeling includes: 1) generating ...

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Abstract

The present invention relates to the technical field of image segmentation, and proposes a method for segmenting iris regions in iris images based on Mask R-CNN neural network, S100, establishing an improved Mask R-CNN neural network for iris segmentation; S200, training neural networks Before the network, mark the sample iris image set used for training; S300, input the marked sample iris images into the neural network, and train the neural network until convergence; S400, input the iris images that need to be divided into iris regions into the In the improved Mask R-CNN neural network that has completed the training, the double-circle boundary information and binary mask map of the iris area are obtained; S500 completes iris segmentation according to the double-circle boundary information and binary mask map of the iris area obtained by S400 . The present invention uses the improved Mask R-CNN neural network in iris segmentation and positioning to realize automatic learning to obtain a normalized iris image and a binary mask map of the iris region, and can also obtain accurate double-circle boundary information of the iris region , to facilitate subsequent iris recognition operations.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to a method for segmenting an iris region in an iris image based on a Mask R-CNN neural network. Background technique [0002] With the continuous development of human science and technology, iris recognition technology has become more and more popular in people's daily life, and it has been successfully used in national security, border control, banking and finance, access control and attendance, and mobile terminals. For iris recognition technology, many technical challenges are encountered in practical application. Especially for scenes where people do not fully cooperate (that is, complex and uncontrollable scenes), the collected iris images of people have low resolution, high noise, squint, and blur due to changes in illumination and distance. and features such as occlusion. It is particularly difficult to accurately segment the iris area in the image, thereby affe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/193G06V40/197
Inventor 冯春阳
Owner DUKE KUNSHAN UNIVERSITY
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