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Face in-vivo detection method based on illumination component

A technology of living body detection and human body, applied in the fields of spoofing detection, instrument, character and pattern recognition, etc., can solve the problems of low efficiency, complex calculation, insufficient discrimination accuracy, etc.

Active Publication Date: 2016-02-10
广州艾翔科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems of complex calculation, poor adaptability, insufficient discrimination accuracy and low efficiency in the current method for distinguishing between photo faces and real faces, the present invention provides a method with high accuracy, good real-time performance and user-friendly experience. A Face Liveness Detection Method Based on Illumination Components

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  • Face in-vivo detection method based on illumination component
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  • Face in-vivo detection method based on illumination component

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specific Embodiment approach

[0036] The method adopted in the present invention does not rely on complex three-dimensional reconstruction or face feature point detection, but focuses on extracting illumination information in face photos for living body detection.

[0037] The present invention is further described below in conjunction with embodiment.

[0038] This embodiment includes the following steps:

[0039] Step 1: In order to obtain the video of the head movement, in actual operation, an instruction can be sent to the user by playing voice or text display, asking the user to shake his head or nod his head facing the camera.

[0040] Step 2: Perform face detection on each frame of image captured by the camera. Face detection is a well-known technology, its function is to find a face from a photo (or video frame) containing a face, and return the position of the face. Crop the face area in the video frame according to the face detection result, and scale it to a 100×100 image. Record the cropped ...

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Abstract

The present invention discloses a face in-vivo detection method based on an illumination component. The method adopted by the present invention relies on neither complex three-dimensional reconstruction nor facial feature point detection, but focuses on extraction on lighting information in a face photo for in-vivo detection; a real face and a photo face can be securely distinguished; when detection is performed, a user only needs to swing the head optionally without doing different actions severely at a particular time, so that user experience is relatively friendly; the method does not rely on facial feature point detection, and thus, the defects of accuracy reduction, calculation complexity and the like, which are caused by feature point detection, are avoided; and meanwhile, the present invention does not relate to face three-dimensional recovery, so that the calculation speed is high and real-time processing can be performed.

Description

technical field [0001] The invention relates to a human face living body detection method based on illumination components. Background technique [0002] In recent years, biometric identification technology has made great progress. The commonly used biometrics are face, fingerprint, iris and so on. The use of biometrics for personal identification is widely used around the world, through which biometric information can accurately distinguish real registrants from forged registrants. However, there are various threats to biometric identification, such as logging in with fake photos of faces, fingerprints, and irises, and more. Distinguish whether the biometrics submitted to the system come from living individuals, and prevent malicious counterfeiters from stealing other people's biometrics for identification, forming the biometric identification system's liveness detection. Face recognition technology has been widely used in identity recognition, video monitoring and video ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06V10/60
CPCG06V40/161G06V40/164G06V40/45G06V10/60
Inventor 翁斌
Owner 广州艾翔科技有限公司
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