On Wrist Vein Recognition For Human Biometrics

Human biometric recognition has always been of interest to researchers. This biometric recognition can broadly be classified into physiological and behavioral recognition based on the modality being considered. The former covers face, fingerprint, palm vein, palmprint and the latter covers gait, keystroke and more. Within the physiological set, vein recognition methods like palm vein, finger vein and wrist vein recognition are attracting more attention due to their subcutaneous nature. Veins being subcutaneous contributes to the possibility of developing contactless biometric systems which is essential in a post COVID-19 pandemic era. In vein recognition, palm vein and finger vein methods have been extensively reviewed and researched. However, there is very limited information on wrist vein recognition. This limits exploring the full potential of wrist vein recognition. In this paper we systematically review recent relevant research on wrist vein recognition and highlight its advantages and disadvantages. Wrist vein images are easier to capture and process when compared to other vascular biometric images. This conducted literature review revealed that wrist vein recognition is promising when used in conjunction with deep learning methods and can be successfully used in designing contactless wrist biometric systems. This study would aid future research and application of wrist vein biometric systems.