Current fingerprint anti-spoofing and liveness detection techniques heavily relied on image processing algorithms and did not fully explore other hardware of a smartphone. In this study, we utilize the phone’s front-facing teardrop notch camera and LED display for multi-spectral imaging and liveness detection. We programmed the phone to illuminate different RGB colors patterns while the camera captures images of the illuminated finger. A custom-designed software allows for the distinct detection between spoof and live fingers based on resulting images and video. The method was implemented and tested in a Samsung Galaxy A50 with a teardrop notch camera. Utilizing a MATLAB program, we were able to distinguish a real finger from eight different-colored spoofs based on the images captured from the front-facing camera.
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