Anti-counterfeiting method and device based on living body textures

Abstract

The invention relates to an anti-counterfeiting method and device based on living body textures. The method comprises the steps of determining the face position of a user is from a face image; Generating at least one collection window based on the face position; Collecting a human face skin image corresponding to the position of each collection window from a second human face image of the microscope; Judging whether the human face skin image comes from living body skin or not; If the human face skin image comes from the living body skin, determining that the human face skin image is true; Wherein the working distance of the microscope is 10 cm <->; 10m. Whether a user uses a mobile phone, a tablet computer, a photo, a mask, a head cover, a doll and the like to forge the face or not is accurately judged by utilizing the face skin image, and the phenomenon that a video is used for 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 body texture. 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, the face, as the most intuitive and convenient feature to collect, is widely used in various identity 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 accura...

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

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