Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein Recognition

Prommegger, Bernhard; Kauba, Christof; Uhl, Andreas

doi:10.1007/978-3-030-27731-4_10

Cited by 11 publications

(9 citation statements)

References 51 publications

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“…In [ 18 ], Prommegger et al derived a capturing device design that achieves an optimal trade-off between cost (number of cameras) and recognition performance. Based on the single-view scores of [ 19 ], they carried out several score-level and feature-level fusion experiments involving different fusion strategies in order to determine the best-performing set of views and feature extraction methods.…”

Section: Blood Vessels In the Handmentioning

confidence: 99%

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

et al. 2022

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Finger vein recognition has evolved into a major biometric trait in recent years. Despite various improvements in recognition accuracy and usability, finger vein recognition is still far from being perfect as it suffers from low-contrast images and other imaging artefacts. Three-dimensional or multi-perspective finger vein recognition technology provides a way to tackle some of the current problems, especially finger misplacement and rotations. In this work we present a novel multi-perspective finger vein capturing device that is based on mirrors, in contrast to most of the existing devices, which are usually based on multiple cameras. This new device only uses a single camera, a single illumination module and several mirrors to capture the finger at different rotational angles. To derive the need for this new device, we at first summarise the state of the art in multi-perspective finger vein recognition and identify the potential problems and shortcomings of the current devices.

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Section: Blood Vessels In the Handmentioning

confidence: 99%

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

et al. 2022

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“…Somewhat related is the consideration multi-perspective finger vein recognition, where two [153] and multiple [205] perspectives are fused to improve recognition results of single-perspective schemes. A chapter in this handbook contains the proposal of a dedicated three-view finger vein scanner [258], while an in-depth analysis of multi-perspective fusion techniques is provided in another one [206].…”

Section: Finger Vein Recognition Toolchainmentioning

confidence: 99%

State of the Art in Vascular Biometrics

Uhl

2019

Handbook of Vascular Biometrics

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The investigation of vascular biometric traits has become increasingly popular during the last years. This book chapter provides a comprehensive discussion of the respective state of the art, covering hand-oriented techniques (finger vein, palm vein, (dorsal) hand vein and wrist vein recognition) as well as eye-oriented techniques (retina and sclera recognition). We discuss commercial sensors and systems, major algorithmic approaches in the recognition toolchain, available datasets, public competitions and open-source software, template protection schemes, presentation attack(s) (detection), sample quality assessment, mobile acquisition and acquisition on the move, and finally eventual disease impact on recognition and template privacy issues.

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“…Chap. 13[22]) and allows for 3D finger vein reconstruction. The team at the University of Twente is currently investigating the optimal illumination and settings for the 3D finger vein reconstruction.…”

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confidence: 99%

OpenVein—An Open-Source Modular Multipurpose Finger Vein Scanner Design

Kauba

Prommegger

Uhl

2019

Handbook of Vascular Biometrics

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One of the main prerequisites in finger vein research is the availability of comprehensive, available finger vein datasets. In order to capture such datasets, a biometric scanner device tailored to capture the vascular patterns is essential. A sophisticated scanner design is the key to achieve a good image quality, robustness against external influences and finally to arrive at a competitive recognition performance. In this chapter, a fully open-source, modular and multipurpose finger vein scanner design is proposed. Two novel finger vein scanners are derived from this basic design. Both are able to capture reflected light and light transmission illuminated images from the dorsal as well as the palmar side. Three fingers are captured at once. The first scanner is based on widely used near-infrared LEDs as its light source, the second one on near-infrared laser modules. Despite their advantages in touchless operation, near-infrared laser modules have hardly been used in finger vein recognition so far. Our scanner design has proven to accomplish an excellent recognition performance using common finger vein recognition schemes. All details regarding the two scanner devices, including technical drawings of all parts, models of the 3D printed parts, control board schematics, the microcontroller firmware, the capturing software, parts list as well as assembly and setup instructions, are available free of charge for research purposes. This should facilitate interested researchers to rebuild such a scanner device for capturing finger vein data on their own. Keywords Finger vein scanner • Open-source biometric sensor device • Light transmission • Reflected light • Open finger vein dataset • Dorsal • Palmar •

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Different Views on the Finger—Score-Level Fusion in Multi-Perspective Finger Vein Recognition

Cited by 11 publications

References 51 publications

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

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

State of the Art in Vascular Biometrics

OpenVein—An Open-Source Modular Multipurpose Finger Vein Scanner Design

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