Hyperspectral imaging is a powerful technology that captures subtle color variations, enabling the detection of characteristics and conditions invisible to the human eye.
Unlike a standard camera, which uses only red, green, and blue, hyperspectral cameras can capture over 100 images across the visible and near-infrared light spectrum in one shot. This allows it to detect information that would otherwise go unnoticed.
Dr. Takashi Suzuki, Associate Professor at Osaka Metropolitan University, used hyperspectral imaging and artificial intelligence (AI) to capture images of human palms. By analyzing the absorption of light via hemoglobin in red blood cells, he revealed blood vessel patterns under the skin, which are unique to each individual. This makes palm vein patterns a secure form of biometric identification, as they aren’t easily visible like fingerprints or facial features.
Dr. Suzuki's innovative method uses AI to identify biometric information regardless of the palm’s position, enhancing accuracy. By processing hyperspectral images and refining their coordinates, he achieved more precise and informative results than conventional methods.
This biometric approach offers remarkable security, potentially transforming how we use palm scans for daily health monitoring or even secure authentication, like unlocking doors.
