Anti-counterfeiting method and device based on living iris

Abstract

The invention relates to a living iris-based anti-counterfeiting method and device, and the method comprises the steps: obtaining an iris image of a user based on a first face image, collected by a visible light camera, of the user; judging whether the iris image is from a living iris or not; If the iris image comes from a living iris, detecting whether the iris image is matched with a pre-storediris image of the user or not; If the iris image is matched with the pre-stored iris image, determining that the face image is true, and achieving that whether a user uses a mobile phone, a tablet personal computer, a photo, a mask, a head cover, a doll and the like to forge the face or not is accurately judged through the iris, and adopting the phenomenon that video forgery due to algorithm anti-counterfeiting cracking is reduced. By adopting the technical scheme of the invention, anti-counterfeiting judgment can be effectively carried out on the face image, and the reliability of face recognition is ensured.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to an anti-counterfeiting method and device based on living irises. Background technique [0002] The use of biometric identification technology greatly simplifies the process of identity verification. The existence of biological characteristics such as face, fingerprint, palm print, iris, retina, voice, body shape, and personal habits depends on the existence of the individual itself, eliminating the need for external identity verification equipment. For example, problems such as equipment loss that may exist in equipment such as identity cards. Among these many features, face, as the most intuitive and convenient feature, is widely used in various authentication occasions. Among the various scenarios where face recognition is used, there are many unsupervised automated operation scenarios. In these scenarios, in addition to ensuring the accuracy and effectiveness of face r...

AI Technical Summary

Problems solved by technology

Among them, anti-counterfeiting with a structured light camera can judge whether the user is using a mobile phone, tablet, photo, etc. for counterfeiting by detecting the depth image in front of the device, but it will fail to judge devices such as masks, headgear, and dolls.

The infrared camera can obtain the information feedback in front of the camera by emitting infrared light and collecting infrared reflection information. This method is also effective to a certain extent for forgery of mobile phones, tablets, photos, etc., but for paper-based black and white images, due to grayscale The difference in level, the degree of return after the infrared is absorbed will change with the gray level of the image, which will lead to the failure of the judgment of whether it is fake

Images