BTAS 2015 calls for participation in the following four competitions:

1. Sclera Segmentation Benchmarking Competition 2015

2. Biometrics via Eye Movements (BioEye 2015)

3. Liveness Detection Competition-Fingerprint (LivDet 2015 Fingerprint)

  1. 4.Liveness Detection Competition-Iris  (LivDet 2015 Iris)

Details and links are given below.

Sclera Segmentation Benchmarking Competition 2015

Among ocular biometrics, sclera has risen in popularity over the past few years. The major reason for the recent interest in this biometric is because it can increase the biometric applicability of iris biometrics in off-angle or off-axis eye biometrics. In order to establish this concept, it is first necessary to access the biometric applicability of sclera and also its combination with iris. So, various research approaches have been proposed in the literature. Although to-date, the sclera biometric has not been extensively studied and so the literature related to sclera biometrics is still in its infancy. One major challenge that is faced in the area of sclera biometrics is the accurate segmentation of the sclera portion from the eye image. The main issue is that incorrect segmentation can not only reduce the pattern available, but also it can introduce other patterns such as eyelashes and eyelids which can bias the calibration and the biometric applicability of the trait. Various algorithms have been proposed for sclera segmentation in recent work involving this biometric, but still it is a challenge and an open research area. Moreover benchmarking the proposed sclera segmentation approaches with a common dataset is also important with multi-angle (off-angle) eye images. In order to establish this benchmark, the proposed competition is being hosted. The competition also aims to gain more popularity among researchers for this biometric trait.

Biometrics via Eye Movements (BioEye 2015)

The competition on Biometrics via Eye Movements (BioEye 2015) aims to push the frontiers in terms of what is possible in the domain of eye movement-driven biometrics. It gives an opportunity to the researchers to develop and test biometric algorithms on a high-quality database of eye movements that were recorded from 306 subjects. Eye movement recordings were collected on a high-end high-accuracy high-sampling rate commercial eye tracking equipment with every precaution taken to ensure highest quality of the collected data. Recording were conducted using different visual stimuli and different time intervals between the recording sessions to facilitate the research investigating the impact of different stimuli on identification accuracy and potential template-aging effects in eye movement biometrics.

SensoMotoric Instruments (SMI) is sponsoring the BioEye 2015 competition prize in the form of a REDn scientific eye tracker given to the winner of the competition.

Liveness Detection Competition-Fingerprint (LivDet 2015 Fingerprint)

The Department of Electrical and Electronic Engineering of the University of Cagliari in cooperation with the Department of Electrical and Computer Engineering of Clarkson University is proud to announce the fourth edition of the Fingerprint Liveness Detection Competition. The widespread use of personal verification systems based on fingerprints has shown some weaknesses related to the problem of security. Among the others, it is well-known that a fingerprint verification system can be deceived by submitting artificial reproductions of fingerprints made up of silicon or gelatine to the electronic capture device (optical or capacitive). These images are then processed as “true” fingerprints. Therefore, a recent issue in the field of security in fingerprint verification (unsupervised especially) is known as “liveness detection”. The standard verification system is coupled with additional hardware or software modules aimed to certify the authenticity of the submitted fingerprints. Whilst hardware-based solutions are the most expensive, software-based ones attempt to measure liveness from characteristics of images themselves by simply applying image processing algorithms. The problem of vitality detection is treated as a two-class classification problem (live or fake). An appropriate classifier is designed in order to extract the probability of the image vitality given the extracted set of features. LivDet2015 competition is open to all academic and industrial institutions which have a solution for software-based fingerprint vitality detection problem.  Each participant is invited to submit its algorithm in an Win32 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 the state of the art in this crucial field, with reference to the general problem of security in biometric systems.

Liveness Detection Competition-Iris  (LivDet 2015 Iris)

Presentation attacks are when an individual subverts the intended policy of the biometric system in order to hide their identity and/or pose as someone else. Liveness detection are methods which seek to recognize imitations of biometric characteristics to prevent from presentation attacks. The goal of Liveness Detection—Iris 2015 is to compare different methodologies for software and system-based iris liveness detection. The results of the competition will provide a reference point for academic and industrial research. While the competition does not grant certification on the quality of proposed solutions, results may impact the state of the art in the field.


7th IEEE International Conference on
Biometrics: Theory, Applications and Systems 
(BTAS 2015)
September 8 - 11, 2015