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20182023
most citedGeneral Framework to Evaluate Unlinkability in Biometric Template Protection Systems

241 citations · 449 across the 53 of their papers we have counts for

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Showing 2019 · cs.CVShow all

8 papers · 2 filters

cs.CV2019★ 15 cited

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi +6

Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric d…

cs.CV2019

Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition

Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja +2

Despite the high biometric performance, finger-vein recognition systems are vulnerable to presentation attacks (aka., spoofing attacks). In this paper, we present a new and robust…

cs.CV2019★ 1 cited

Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance

Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja +1

Face recognition is widely employed in Automated Border Control (ABC) gates, which verify the face image on passport or electronic Machine Readable Travel Document (eMTRD) against…

cs.CV2019

Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks

Lázaro J. González-Soler, Marta Gomez-Barrero, Leonardo Chang +2

Fingerprint-based biometric systems have experienced a large development in the last years. Despite their many advantages, they are still vulnerable to presentation attacks (PAs).…

cs.CV2019

Sex-Prediction from Periocular Images across Multiple Sensors and Spectra

Juan Tapia, Christian Rathgeb, Christoph Busch

In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using state-of-the-art machine learning techni…

cs.CV2019

Relevant features for Gender Classification in NIR Periocular Images

Ignacio Viedma, Juan Tapia, Andres Iturriaga +1

Most gender classifications methods from NIR images have used iris information. Recent work has explored the use of the whole periocular iris region which has surprisingly achieve…