Group Evaluation of Sclera Segmentation Models Call for Papers



Sclera biometrics have gained significant popularity among emerging
ocular traits in the last few years. In order to establish the sclera
as a viable biometric trait and to evaluate its potential for
automated biometric systems, several works have been presented in the
literature, employing sclera both individually and in combination with
the iris. Despite these initiatives, sclera biometrics need to be
studied more extensively to ascertain their usefulness. Among the
numerous challenges still open in this area, efficient and robust
sclera segmentation is among the most important ones, affecting all
downstream tasks from normalization to recognition. While a
considerable amount of research has been directed towards sclera
segmentation in recent years, the performance of existing techniques
especially in various scenarios are still not well explored.

Several group benchmarking efforts have been organized in the scope of
major biometric conferences to address this gap, namely SSBC 2015,
SSRBC 2016, SSBC 2016, SSERBC 2017, SSBC 2018 and SSBC 2019 that were
held in conjunction with BTAS 2015, ICB 2016, BTAS 2016, IJCB 2017,
ICB 2018 and ICB 2019, respectively. The latest in the series, SSBC
2020m was organized in the scope of IJCB 2020 and explored the
performance of sclera segmentation models in mobile settings.

As the next step in the series of competition, the organizers of SSBC
2020 are planning to conduct the largest group benchmarking effort to
date and submit the results and corresponding analysis to a major
biometric journal (TBD). The paper describing the group benchmarking
effort will be *** co-authored by all participants ***.

The planned paper will be partially based on the submissions to SSBC
2020 but will include new experiments on multiple datasets that will
allow for a more detailed analysis of the results with novel
insights. We invite researchers working on problems related ocular
biometrics and sclera segmentation to take part in the benchmarking
effort and contribute models for scoring and analysis. The
benchmarking effort is open to anyone and is not limited solely to
participants of previous benchmarking competitions.


Participants will be given training datasets to develop and train
their segmentation models. A list of experiments will be provided and
instructions on how to train multiple instances of the developed
model. All trained models will then have to be tested on a number of
test datasets. The organizers will score and analyze the submitted

Researchers interested in participating should send an e-amil to
Dr. Abhijit Das ( with the 
subject line "Post SSBC 2020 benchmarking effort" 
with the following information: Name, Affiliation, Email,
Phone number, CV, Mailing Address.

Registration starts 8th September 2020
Training datasets available 8th September 2020
Test dataset made available 8th September2020
Registration closes 10th October 2020

Dr. Abhijit Das, Indian Statistical Institute, Kolkata, India (
Prof. Umapada Pal, Indian Statistical Institute, Kolkata, India
Matej Vitek, PhD candidate, University of Ljubljana, Ljubljana, Slovenia
Prof. Peter Peer, University of Ljubljana, Ljubljana, Slovenia
Assoc. Prof. Vitomir Štruc, University of Ljubljana, Ljubljana, Slovenia