Fake face detecting method and system for realizing same

Abstract

The invention provides a fake face detecting method and a system for realizing same, wherein the fake face detecting method and the system belong to the technical field of video image identification. The fake face detecting method comprises the following steps of acquiring a person entering signal, determining whether a person enters, and if yes, performing pretreatment on a video image; detecting a face for judging whether the face or head exists; if yes, detecting a nose for judging whether the nose exists; if no, judging as a fake face and performing alarming; if yes, estimating detecting areas of eyes and mouth, then detecting the eyes and the mouth for judging whether the eyes and the mouth coexist; if yes, judging the face as a normal face; and otherwise, judging the face as the fake face and performing alarming. The fake face detecting method and the system have beneficial effects of performing real-time detecting and alarming on the fake face of an ATM, utilizing the nose as guidance for detecting the eyes and the mouth, and realizing higher accuracy in positioning organs on the face.

Description

technical field [0001] The invention relates to the technical field of video image recognition, in particular to a fake face detection method and system. Background technique [0002] With the rapid development of bank automation construction, ATM machines, or automatic teller machines, play an increasingly important role in people's daily life. However, due to the open-air and unattended characteristics of ATM machines, problems such as property disputes between customers and banks, and crimes caused by using ATM machines are also oncoming. Faced with the problems encountered by ATMs, banks have installed face capture cameras and panel surveillance cameras on ATMs. However, criminals usually cover the main parts of their faces by camouflaging their faces, such as wearing sunglasses or masks. At this time, even with surveillance video, it is impossible to identify and hunt down illegal and criminal faces afterwards. The best way is to give early warning when criminals cond...

AI Technical Summary

Problems solved by technology

[0003] There are currently some detection methods for fake faces, but these methods are only in the experimental stage, and the actual application effect is not ideal

The on-site environment is relatively complex, and the image quality of the video equipment is poor. Especially, the face capture camera on the ATM machine is used to shoot outdoors, which leads to severe backlighting of the surveillance video screen, and the quality of the face in the screen is poor. It is very difficult, and the traditional camouflaged face analysis method is difficult to solve this problem

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