A Multispectral Whole-Hand Biometric Authentication System

TLDR

The authors present and refine a prototype whole‑hand imaging system designed for biometric authentication. The system uses a multispectral sensor that captures hand shape, fingerprints, and palmprint in a single interaction. The prototype achieves faster acquisition, higher image quality, spoof detection, and good recognition performance, especially when fusing multiple fingers and palmprint modalities.

Abstract

We describe the design and development of a prototype whole-hand imaging system. The sensor is based on multispectral technology that is able to provide hand shape, fingerprints and palmprint modalities of a user's hand by a single user interaction with the sensor. A clear advantage of our system over other unimodal sensors for these modalities include: (i) faster acquisition time, (ii) better quality images, and (iii) ability to provide spoof detection. Initial results on a medium-size database show good recognition performance based on individual modalities as well as after fusing multiple fingers and fusing finger and palm. The prototype is being refined in order to improve performance even further.