A fully rotation invariant multi‐camera finger vein recognition system

Abstract

Finger vein recognition systems utilize the venous pattern within the fingers to recognize subjects. It has been shown that the alignment of the acquired samples has a major impact on the recognition accuracy of such systems. Although a lot of work has been done in this field, there is still no approach that solves all kind of finger misplacements. In particular, longitudinal finger rotation still causes major problems. As the capturing devices evolve towards contactless acquisition, solutions to alignment problems become more important. As an alternative to rotation detection and correction, the problem can also be addressed by acquiring the vein pattern from different perspectives. This article presents a novel multi-camera finger vein recognition system that captures the vein pattern from multiple perspectives during enrolment and recognition. Contrary to existing multicamera solutions that use the same capturing device for enrolment and recognition, the capturing devices for the proposed system differ in the configuration of the acquired perspectives. The cameras of the devices are positioned so that the recognition rates around the finger are high and that the number of cameras needed is kept to a minimum. The experimental results confirm the rotation invariance of the proposed approach. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device

“…In [ 3 ], Prommegger et al presented a novel multi-camera finger vein recognition system that captures the vein pattern from multiple perspectives during enrolment and recognition (as a further extension to our previously proposed MP-MPE approach). In contrast to existing multi-camera solutions using the same capturing device for enrolment and recognition, the proposed approach utilises different camera positioning configurations around the finger of the capturing device during enrolment and recognition in order to achieve an optimal trade-off between the recognition rates (minimising the rotational distance between the closest enrolment and recognition sample) and the number of cameras (perspectives involved) needed.…”

“…Such a device usually consists of several cameras and illumination units and captures the finger vein samples from several different rotational angles around the finger’s longitudinal axis, and in combination with a suitable reconstruction algorithm, a full 3D representation of the finger vein pattern can be obtained. A multi-perspective finger vein acquisition device achieves higher recognition performance compared to single-view ones and is robust against simple paper-printout presentation attacks [ 3 ].…”

Recognition of the finger vascular system using multi‐wavelength imaging

“…An advantage of the 3D approach is that it is less sensitive to different finger positions during acquisition, which impacts the effectiveness of biometric systems. Many other studies have covered the issue of reconstructing 3D views from FVS imaging [44,45]. In each case, however, only a single NIR illumination wavelength was used.…”

Multi-Wavelength Biometric Acquisition System Utilizing Finger Vasculature NIR Imaging

“…Some of the FVS-related publications concern instrumental issues, e.g., the selection of an appropriate NIR length [ 11 , 12 ], the assembly of an appropriate combination of lengths used to improve identification performance [ 13 ], or novel acquisition devices [ 12 , 14 , 15 , 16 , 17 ]. The algorithmic issues at the pre- and post-processing stages are considered as well [ 12 , 18 ].…”