activity
20182023
most citedAnomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection

37 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 7 cited

Deep Learning in the Field of Biometric Template Protection: An Overview

Christian Rathgeb, Jascha Kolberg, Andreas Uhl +1

Today, deep learning represents the most popular and successful form of machine learning. Deep learning has revolutionised the field of pattern recognition, including biometric rec…

cs.LG2021

GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection

Tobias Rohrer, Jascha Kolberg

The need for reliable systems to determine fingerprint presentation attacks grows with the rising use of the fingerprint for authentication. This work presents a new approach to si…

cs.CV2020

On the Generalisation Capabilities of Fingerprint Presentation Attack Detection Methods in the Short Wave Infrared Domain

Jascha Kolberg, Marta Gomez-Barrero, Christoph Busch

Nowadays, fingerprint-based biometric recognition systems are becoming increasingly popular. However, in spite of their numerous advantages, biometric capture devices are usually e…

cs.CV2020★ 37 cited

Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection

Jascha Kolberg, Marcel Grimmer, Marta Gomez-Barrero +1

In recent years, the popularity of fingerprint-based biometric authentication systems significantly increased. However, together with many advantages, biometric systems are still v…

cs.CR2018★ 28 cited

Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters

Andreas Nautsch, Sergey Isadskiy, Jascha Kolberg +2

Data privacy is crucial when dealing with biometric data. Accounting for the latest European data privacy regulation and payment service directive, biometric template protection is…