Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015

09/06/2016
by   Luca Ghiani, et al.
0

A spoof attack, a subset of presentation attacks, is the use of an artificial replica of a biometric in an attempt to circumvent a biometric sensor. Liveness detection, or presentation attack detection, distinguishes between live and fake biometric traits and is based on the principle that additional information can be garnered above and beyond the data procured by a standard authentication system to determine if a biometric measure is authentic. The goals for the Liveness Detection (LivDet) competitions are to compare software-based fingerprint liveness detection and artifact detection algorithms (Part 1), as well as fingerprint systems which incorporate liveness detection or artifact detection capabilities (Part 2), using a standardized testing protocol and large quantities of spoof and live tests. The competitions are open to all academic and industrial institutions which have a solution for either softwarebased or system-based fingerprint liveness detection. The LivDet competitions have been hosted in 2009, 2011, 2013 and 2015 and have shown themselves to provide a crucial look at the current state of the art in liveness detection schemes. There has been a noticeable increase in the number of participants in LivDet competitions as well as a noticeable decrease in error rates across competitions. Participants have grown from four to the most recent thirteen submissions for Fingerprint Part 1. Fingerprints Part 2 has held steady at two submissions each competition in 2011 and 2013 and only one for the 2015 edition. The continuous increase of competitors demonstrates a growing interest in the topic.

READ FULL TEXT

page 5

page 6

page 20

page 26

research
02/15/2022

Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021

Fingerprint authentication systems are highly vulnerable to artificial r...
research
08/03/2015

Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns

With the growing use of biometric authentication systems in the past yea...
research
08/27/2019

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

Fingerprint-based biometric systems have experienced a large development...
research
12/07/2021

Presentation Attack Detection Methods based on Gaze Tracking and Pupil Dynamic: A Comprehensive Survey

Purpose of the research: In the biometric community, visible human chara...
research
03/14/2018

LivDet 2017 Fingerprint Liveness Detection Competition 2017

Fingerprint Presentation Attack Detection (FPAD) deals with distinguishi...
research
05/21/2021

GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack Detection

The need for reliable systems to determine fingerprint presentation atta...
research
07/18/2019

Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems

Fingerprint Liveness detection, or presentation attacks detection (PAD),...

Please sign up or login with your details

Forgot password? Click here to reset