Model generation method and device and iris detection method and device

A technology for iris detection, which is applied in the field of iris recognition, can solve the problems of reducing the efficiency of iris image preprocessing, and achieve the effect of improving efficiency and safety and ensuring accuracy

Pending Publication Date: 2020-09-01
BEIJING IRISKING
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AI Technical Summary

Problems solved by technology

However, solving tasks such as iris positioning and different living body detection separately will reduce the efficiency of iris image preprocessing

Method used

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  • Model generation method and device and iris detection method and device
  • Model generation method and device and iris detection method and device
  • Model generation method and device and iris detection method and device

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Embodiment Construction

[0040]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

[0041] In the existing image-based iris liveness detection algorithm, the two tasks of iris location detection and liveness detection are carried out separately, which will lead to problems such as cumbersome algorithm design process, high time complexity, and large model parameters, which will reduce the iris image quality. The efficiency of preprocessing and other issues.

[0042] The inventor found through experimental analysis that the two tasks of iris location detection and liveness detection can share features such as shape and texture in the iris image. Theref...

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Abstract

The invention provides a model generation method and device and an iris detection method and device, and the method comprises the steps: obtaining a training sample set, wherein the training sample set comprises a plurality of training sample subsets, each training sample in each training sample subset comprises an iris image, a type label and real iris bounding box position information, and the type of the training sample in each training sample subset comprises a real person iris, a beauty pupil iris and a prosthesis iris; training the iris detection neural network by using each training sample of each training sample subset in the training sample set to obtain an iris detection model, wherein the iris detection neural network comprises a feature extraction layer, an iris positioning layer, a region of interest pooling layer, a beauty pupil detection layer and a prosthesis detection layer, the feature extraction layer, the iris positioning layer, the region-of-interest pooling layerand the beauty pupil detection layer are connected in sequence, and the output of the feature extraction layer is further connected with the region-of-interest pooling layer and the prosthesis detection layer. Through the scheme, the iris image processing efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of iris recognition, in particular to a model generation method, an iris detection method and a device. Background technique [0002] As a highly secure biometric identification technology, iris recognition technology has been widely used in identity management such as public security criminal investigation, prison, suspect investigation, and entry and exit. However, iris recognition also faces the problem of malicious attacks. Malicious attack methods are mainly divided into two parts: prosthesis attack and color contact lens attack. Among them, the prosthesis attack can refer to registration or verification by using printing paper, video, silicone dummy head, prosthetic eye, etc. to simulate the iris of a real person; Texture will affect iris texture characteristics, resulting in misrecognition or recognition failure. Therefore, iris biopsy detection plays an important role in iris recognition. [0003...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/197G06V40/45G06N3/045G06F18/2414G06F18/214
Inventor 张慧张贺刘京何召锋周水子
Owner BEIJING IRISKING
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