Single Image Liveness Detection
Liveness detection in just a single frame
Get the most friction-less liveness detection experience using a single image.
What is Single Image Liveness Detection?
Single Image Liveness is a biometric security mechanism that uses machine learning algorithms to verify whether a captured image was taken on the spot from the live person, or is a spoof (such as a photograph, video, or mask).
This allows for much less user-friction compared to other forms of liveness, increasing the pass rate of genuine customers.
Liveness DetectionThe Single Image Liveness Detection Process
The system captures a single image from the user, then analyzes multiple metrics,
including but not limited to:
Edge Detection
Images printed on paper can have sharp transitions or changes in pixel intensity, which can be detected.
Color Spectrum Analysis
Non-real faces can have color inaccuracies, limited ranges, or unnatural hues due to different limitations.
Light Pattern Analysis
Images captured form a screen can produce reflections and/or glares, detectable through light pattern analysis.
Why Use Single Image Liveness?
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