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20222024
most citedLearning to Predict Fitness for Duty using Near Infrared Periocular Iris Images

2 citations · 5 across the 13 of their papers we have counts for

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13 papers

cs.CV20241 cited

On the Feasibility of Creating Iris Periocular Morphed Images

Juan E. Tapia, Sebastian Gonzalez, Daniel Benalcazar +1

In the last few years, face morphing has been shown to be a complex challenge for Face Recognition Systems (FRS). Thus, the evaluation of other biometric modalities such as fingerp…

cs.CV2024

Generating Automatically Print/Scan Textures for Morphing Attack Detection Applications

Juan E. Tapia, Maximilian Russo, Christoph Busch

Morphing Attack Detection (MAD) is a relevant topic that aims to detect attempts by unauthorised individuals to access a "valid" identity. One of the main scenarios is printing mor…

cs.CV2024

Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network

Juan Tapia, Christoph Busch

This paper evaluated the impact of synthetic images on Morphing Attack Detection (MAD) using a Siamese network with a semi-hard-loss function. Intra and cross-dataset evaluations w…

cs.CV20241 cited

Double Trouble? Impact and Detection of Duplicates in Face Image Datasets

Torsten Schlett, Christian Rathgeb, Juan Tapia +1

Various face image datasets intended for facial biometrics research were created via web-scraping, i.e. the collection of images publicly available on the internet. This work prese…

cs.CV2023

SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data

Meiling Fang, Marco Huber, Julian Fierrez +21

This paper presents a summary of the Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data (SynFacePAD 2023) held at the 2023 Internation…

cs.CV2023

Iris Liveness Detection Competition (LivDet-Iris) -- The 2023 Edition

Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff +18

This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition inclu…