Human face living body detection system and method based on optical pulses

A technology of living body detection and light pulse, applied in the field of image recognition, which can solve problems such as reducing the user experience
CN105260731AInactive Publication Date: 2016-01-20SENSETIME GRP LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
SENSETIME GRP LTD
Publication Date
2016-01-20
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The embodiment of the invention discloses a human face living body detection system and a method based on optical pulses, which belongs to the field of image recognition. The system comprises a light emitting device, a photographing device and a detection device, wherein the light emitting device emits optical signals of different signal strengths to a to-be-detected object with preset frequency; the photographing device is used for acquiring multiple images generated by the to-be-detected object under the optical signals of different signal strengths; and the detection device is used for detecting whether the to-be-detected object is a living body based on the multiple images. The scheme provided by the embodiment of the invention is applied to target region recognition, and the phenomenon that a person uses non-living objects such as a photo or video to pretend to be the person to pass the target region recognition can be avoided.
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Description

technical field

[0001] The present invention relates to the technical field of image recognition, in particular to a system and method for human face liveness detection based on light pulses. Background technique

[0002] Face detection and recognition technology is widely used in identity recognition and verification systems due to its advantages of non-contact and non-invasiveness (no user perception). At present, most systems use image-based face recognition technology. Due to the lack of judgment on the source of the image, it is impossible to determine whether the current image collection comes from a real person, or a still image containing a face, or a pre-recorded video. , or face masks. These image-based face recognition systems lack the link of liveness detection and cannot distinguish between face materials and real people, so there are potential dangers such as deception.

[0003] In order to overcome such problems, some systems in the prior art introduce a liv...

Claims

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