Single-Camera Vision-Based Vein Biometric Authentication and Heart Rate Monitoring via Infrared Imaging Analysis

In this study, a feasibility test is performed to evaluate simultaneous heart rate measurement and individual identification via a single device. Thus, we have designed a novel device, comprising a modified webcam and 660 and 940 nm LEDs, as based on the principles of a conventional blood flow measurement sensor. To confirm the feasibility, we captured three types of images via respective employment of the following: 660 nm LEDs only, 940 nm LEDs only, and both 660 and 940 nm LEDs. A PPG (photoplethysmography) signal is acquired as the images are captured; the output is implemented as ground-truth data. Experimental results showed that the image analysis-based heart rate signal yields a pattern identical to that of a PPG signal. Additionally, acquired finger-vein image visibility and resolution is sufficient to perform finger-vein recognition. Testing the system using more than 100 subjects with variable health statuses confirmed that our proposed concept can be implemented as an effective heart rate monitoring system. The proposed method has the potential to significantly increase the efficiency of individual health information management.