VID: Human identification through vein patterns captured from commodity depth cameras

• Published in: IET biometrics Vol. 10; no. 2; pp. 142 - 162
• Main Authors: Shah, Syed W., Kanhere, Salil S., Zhang, Jin, Yao, Lina
• Format: Journal Article
• Language: English
• Published: Stevenage John Wiley & Sons, Inc 01.03.2021; Wiley
• Subjects: Accuracy; Biometrics; biometrics (access control); Cameras; Commodities; Deep learning; feature extraction; Identification; image classification; image recognition; Infrared imagery; Intrusion; learning (artificial intelligence); Machine learning; Smartphones; Veins & arteries

Herein, a human identification system for smart spaces called Vein‐ID (referred to as VID) is presented, which leverage the uniqueness of vein patterns embedded in dorsum of an individual's hand. VID extracts vein patterns using the depth information and infrared (IR) images, both obtained from...