Model generation method and device and iris detection method and device

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...

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

Images