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20182023
most citedTowards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection

11 citations · 35 across the 24 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 2 cited

Towards an Efficient Semantic Segmentation Method of ID Cards for Verification Systems

Rodrigo Lara, Andres Valenzuela, Daniel Schulz +2

Removing the background in ID Card images is a real challenge for remote verification systems because many of the re-digitalised images present cluttered backgrounds, poor illumina…

cs.CV2021

Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Information

Juan Tapia, Christoph Busch

Face morphing attack detection is a challenging task. Automatic classification methods and manual inspection are realised in automatic border control gates to detect morphing attac…

cs.CV2021

Synthetic Periocular Iris PAI from a Small Set of Near-Infrared-Images

Jose Maureira, Juan Tapia, Claudia Arellano +1

Biometric has been increasing in relevance these days since it can be used for several applications such as access control for instance. Unfortunately, with the increased deploymen…

cs.CV2021★ 2 cited

Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects

Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela +3

This paper proposes a new framework to detect, segment, and estimate the localization of the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. The purpose…

cs.CV2021

Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks

Juan Tapia, Sebastian Gonzalez, Christoph Busch

Iris pattern recognition has significantly improved the biometric authentication field due to its high stability and uniqueness. Such physical characteristics have played an essent…

cs.CV2021

Selfie Periocular Verification using an Efficient Super-Resolution Approach

Juan Tapia, Andres Valenzuela, Rodrigo Lara +2

Selfie-based biometrics has great potential for a wide range of applications since, e.g. periocular verification is contactless and is safe to use in pandemics such as COVID-19, wh…