$$\mathsf {BioLocker}$$: A Practical Biometric Authentication Mechanism Based on 3D Fingervein

Durak, F. Betül; Huguenin-Dumittan, Loïs; Vaudenay, Serge

doi:10.1007/978-3-030-57878-7_4

Cited by 2 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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.…”

Section: Hardware Techniquesmentioning

confidence: 99%

Recognition of the finger vascular system using multi‐wavelength imaging

et al. 2022

View full text Add to dashboard Cite

There has recently been intensive development of methods for identification and personal verification using the human finger vascular system (FVS). The primary focus of these efforts has been the increasingly sophisticated methods of image processing, and frequently employing machine learning. In this article, we present a new concept of imaging in which the finger vasculature is illuminated using different wavelengths of light, generating multiple FVS images. We hypothesised that the analysis of these image sets, instead of individual images, could increase the effectiveness of identification. Analyses of data from over 100 volunteers, using five different deterministic methods for feature extraction, consistently demonstrated improved identification efficiency with the addition of data obtained from another wavelength. The best results were seen for combinations of diodes between 800 and 900 nm. Finger vascular system observations outside this range were of marginal utility. The knowledge gained from this experiment can be utilised by designers of biometric recognition devices leveraging FVS technology. Our results confirm that developments in this field are not restricted to image processing algorithms, and that hardware innovations remain relevant.

show abstract

Section: Hardware Techniquesmentioning

confidence: 99%

Recognition of the finger vascular system using multi‐wavelength imaging

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Durak et al [ 20 ] designed and constructed a 3D finger vein scanner for implementing an authentication mechanism for secure strong access control on desktop computers based on biometry. Their system implements privacy-by-design by separating the biometric data from the identity information.…”

Section: Blood Vessels In the Handmentioning

confidence: 99%

“…From the title of the patent, it is not obvious that this device performs 3D or multi-perspective finger vein recognition. The finger vein capturing device design in the patent is similar to the one presented by [ 20 ] as it uses three cameras placed at the palmar view and separated by a rotational angle of

. It also uses only one illumination module, which is placed opposite to the palmar view camera, on top of the device.…”

Section: Blood Vessels In the Handmentioning

confidence: 99%

“…The most prominent group of devices are the multi-camera ones, which can have two [ 11 , 12 , 15 ], three [ 13 , 14 , 17 , 20 , 22 , 23 ], or even up to six [ 21 ] cameras and corresponding illumination modules. The obvious advantage of those devices is that a sample acquisition can be conducted in parallel with all the cameras (depending on the device’s configuration) and is thus much faster than for the rotational devices.…”

Section: Blood Vessels In the Handmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

$$\mathsf {BioLocker}$$: A Practical Biometric Authentication Mechanism Based on 3D Fingervein

Cited by 2 publications

References 23 publications

Recognition of the finger vascular system using multi‐wavelength imaging

Recognition of the finger vascular system using multi‐wavelength imaging

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

Contact Info

Product

Resources

About