LivDet 2025: Fingerprint Liveness Detection Competition

LivDet 2025: Fingerprint Liveness Detection Competition
Online
Feb 1 – April 20, 2025

The Department of Electrical and Electronic Engineering of the University of Cagliari, the da/sec Group of the Hochschule Darmstadt and the Department of Electrical and Computer Engineering of the Clarkson University are proud to announce the ninth edition of the Fingerprint Liveness Detection Competition.

LivDet 2025 Competition Overview – This edition of LivDet 2025 has three challenges, applicable to both contact and contactless solutions

Challenge 1.

Liveness Detection in Action(1): Fingerprint Liveness Detection systems are not designed to operate stand-alone, but as a part of a recognition system. Competitors are invited to submit a complete algorithm able not only to output the probability of the image vitality (the so-called “liveness score”) given the extracted set of features but also an integrated match score (“integrated score”) which includes the probability above with the probability of belonging to the declared user. For this challenge, participants can decide whether to exploit the additional information coming from the enrolled user (“user-specific effect”(2)). During the design phase of the integrated system, they have at their disposal the new tool “Bio-WISE: Biometric recognition with integrated pad: simulation environment”. BIO-WISE is born to test the performance of fingerprint PAD and matchers combined sequentially(3).

Challenge 2.

Fingerprint representation: In modern biometric systems, the compactness and the discriminability of feature vectors are fundamental to guarantee high performance in terms of accuracy and speed. Competitors are invited to submit a liveness detection algorithm which returns in addition to the probability of liveness, the feature vector corresponding to the input image with a maximum size of 512 bytes. The algorithms will be assessed on the basis of system accuracy and speed on PC with specified characteristics (see the page related to the challenge 2).

Challenge 3.

Adversarial Robustness: An insidious flip side of ML-based PAD solutions, is represented by adversarial attacks, namely, procedures intended to mislead a target detector. Recent works highlighted the possibility of transferring a fingerprint adversarial attack from the digital domain to the physical one: this produces new PAs that have a higher chance of passing PAD control. Competitors are challenged to develop a PAD solution robust to adversarial presentation attacks.

Competitors can choose whether to participate in the first or second challenge or both. All competitors will participate in the third challenge.

Each participant is invited to submit its algorithm in a Windows or Linux console application. The performance will be evaluated by utilizing a very large data set of “fake” and “live” fingerprint images captured by four devices. The performance rank will be compiled and published in this site.

The goal of the competition is to compare different methodologies for software-based fingerprint liveness detection with a common experimental protocol and data set. The ambition of the competition is to become the reference event for academic and industrial research. The competition is not defined as an official system for quality certification of the proposed solutions, but may impact state-of-art in this crucial field, with reference to the general problem of security in biometric systems.

Important dates

Second round deadlines:

Registration Opening: February 1, 2025.
Registration Closing: April 1, 2025.
Algorithms Submission: April 20, 2025.

Competitors must select state-of-the-art datasets for model training and declare the data used, as no training data will be provided.

Article Topics

biometric liveness detection  |  biometric testing  |  biometrics research  |  Clarkson University  |  fingerprint biometrics  |  LivDet  |  presentation attack detection