[Face-research-list] Deadline extended to 1st Sep : ICPR 2024 2nd Workshop Fairness in Biometric Systems

[ABHIJIT DAS]

*Call for Papers*

I*CPR 2024:  2nd Workshop on- Call for Papers Fairness in Biometric Systems*

Biometric systems have spread worldwide and therefore have been
increasingly involved in critical decision-making processes, including
finances, public security, and forensics.  Despite their increasing impact
on everybody’s daily life, many biometric solutions perform highly
divergent for different groups of individuals, as previous works have
shown. Consequently, the recognition performance of such systems is
significantly impacted by demographic and non-demographic attributes of
users. This brings to the fore discriminatory and unfair treatment of users
of such systems.

At the same time, several political regulations, such as Article 7 of the
Universal Declaration of Human Rights and Article 71 of the General Data
Protection Regulation (GDPR), have highlighted the importance of the right
to non-discrimination. These political efforts show the pertinent need for
analyzing and mitigating equability concerns in biometric systems. Given
the increasing impact on everybody’s daily life, as well as the associated
social interest, research on fairness in biometric solutions is urgently
needed.

This includes
• Developing and analyzing biometric datasets
• Proposing metrics related to equability in biometrics
• Demographic and non-demographic factors in
biometric systems
• Investigating and mitigating equability concerns
in biometric algorithms including
o Identity verification and identification
o Soft-biometric attribute estimation
o Presentation attack detection
o Template protection
o Biometric image generation
o Quality assessment

*Important Dates*
--------------------------------
Full Paper Submission: September 1, 2024
Acceptance Notice: September 20, 2024
Camera-Ready Paper:  September 24, 2024
Workshop: December 01, 2024

Best regards
Abhijit
------------------  --------------------- ---- --------------------
*Prof.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR
<https://appcair.com/applied-ai-faculty.html>

Machine Intelligence  Group
<https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>Assistant
Professor.
Dept. of Computer Science and Information Systems,
BITS Pilani, Hyderabad Campus.
Contact no: +914066303744 (O)

Web: https://sites.google.com/site/dasabhijit2048/home
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