Marattukalam, Felix (The University of Auckland), Abdulla, Waleed (The University of Auckland)

On Palm Vein As a Contactless Identification Technology

Scheduled for presentation during the Regular Session "Learning, Fuzzy and Neural Systems" (FC1), Friday, November 29, 2019, 15:45−17:45, WZ Building Room WZ416

2019 Australian & New Zealand Control Conference (ANZCC), November 27-29, 2019, Auckland, New Zealand

This information is tentative and subject to change. Compiled on April 18, 2024

Abstract

Palm vein biometrics has received a lot of attention in recent years. This technology offers accuracy, robustness and is contactless, which makes it a promising option for clinical applications. It uses palm vascular patterns of individuals as identification metric to match the identity. As per observations, the vein structure beneath the palm surface has a more complicated pattern as compared to the back of the palm, the fingers or any other easily accessible vein networks in the body. Thus, the palm vein can provide more features to be used for authentication. This paper highlights the performance evaluation of various approaches adopting this authentication technique. The performance evaluation is based on standard metrics such as equal error rate and false acceptance rate. We compare different techniques based on existing published research and summarize their advantages and disadvantages. We finally suggest the use of deep learning algorithms in the decision-making process which promises to be most reliable for near future applications.