activity
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

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 2 cited

Synthetic ID Card Image Generation for Improving Presentation Attack Detection

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

Currently, it is ever more common to access online services for activities which formerly required physical attendance. From banking operations to visa applications, a significant…

cs.CV2022

Towards an efficient Iris Recognition System on Embedded Devices

Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez +3

Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems. Today, it is challenging to build NIR-capturing devices under the premise of hardware pri…

cs.CV2022★ 4 cited

Impact of Face Image Quality Estimation on Presentation Attack Detection

Carlos Aravena, Diego Pasmino, Juan E. Tapia +1

Non-referential face image quality assessment methods have gained popularity as a pre-filtering step on face recognition systems. In most of them, the quality score is usually desi…

cs.CV2022★ 2 cited

Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images

Juan Tapia, Daniel Benalcazar, Andres Valenzuela +3

This research proposes a new database and method to detect the reduction of alertness conditions due to alcohol, drug consumption and sleepiness deprivation from Near-Infra-Red (NI…

cs.CV2022

Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network

Juan Tapia, Enrique Lopez Droguett, Christoph Busch

This research proposes a method to detect alcohol consumption from Near-Infra-Red (NIR) periocular eye images. The study focuses on determining the effect of external factors such…

cs.CV2022★ 2 cited

Single Morphing Attack Detection using Siamese Network and Few-shot Learning

Juan Tapia, Daniel Schulz, Christoph Busch

Face morphing attack detection is challenging and presents a concrete and severe threat for face verification systems. Reliable detection mechanisms for such attacks, which have be…