Skin Reflection Measurement for Biometric Verification

Biometric screening relies on digital analysis of facial features in images, such as the shape of the eyes, nose, mouth, and distance between features to accurately verify an individual's identity. However, variability in lighting conditions, skin tones, and image quality can impact a system's ability to accurately assess biometric information, resulting in unreliable verification. Furthermore, using images to assess variability in skin features is challenging with limited methods to consistently capture race and gender agnostic skin tone data to accurately screen individuals.

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