A real-time face detection method based on image processing

Abstract

A real-time human face living body detection method based on image processing, adopting the following steps, step 1: the image acquisition device acquires images in real time, and transmits the acquired images to the image processing module; step 2: the image processing module performs denoising and pre-processing Processing, the pre-processed image is delivered to the face detection module; Step 3: the face detection module detects the pre-processed image, analyzes whether there is a face image in the pre-processed image, if there is a face image , then enter the next step, otherwise, return to step 1; step 4: the face detection module determines the position of the face image in the preprocessed image; step 5: the face detection module locates the nose area in the face image and the ear area to obtain the position parameters of the nose area and the ear area in the face image.

Description

technical field

[0001] The invention relates to the field of image processing, in particular to a real-time human face living body detection method based on image processing. Background technique

[0002] With the vigorous development of face recognition technology and systems in all walks of life (including banks, mobile payment, airports, etc.), more and more attention has been paid to the security loopholes of face recognition systems, and people are eager to increase anti-spoofing of personal identities The means, that is, liveness detection on the face, so as to identify the illegal behavior of forging the identity of others.

[0003] At present, face liveness detection technology can be divided into the following two categories according to the liveness detection process: (1) Interactive face liveness detection: the existing interactive face liveness detection technology is completed through human-computer interaction, such as face liveness detection system Require th...

Images