The IJCB 2023 technical program will highlight a selected and limited number of Special Sessions in order to complement the regular program with new or emerging topics of particular interest to the Biometrics community. You are invited to submit your works to the following special sessions that are selected and now open for submission:
1. Synthetic data in Biometrics
Description: In recent years, the field of biometrics has witnessed remarkable progress across different modalities, including facial images, fingerprints, iris scans, and behavioral biometrics. However, the development of accurate and robust biometric systems heavily relies on large-scale, diverse, and annotated datasets. Gathering such datasets, especially when dealing with sensitive personal information, can be challenging due to privacy concerns, legal constraints, and limited access to large-scale real-world data. The IJCB 2023 special session on »Synthetic data in Biometrics« will explore the emerging field of synthetic data for biometrics and its potential to revolutionize the development, evaluation, and deployment of biometric systems. Synthetic data, generated through advanced machine learning models, offers a promising solution to address the limitations of real-world data collection. By synthesizing artificial biometric samples, researchers can create large-scale (annotated) datasets that exhibit diverse variations and can be used for training and testing of biometric models, all while respecting privacy constraints.
Organizers: Fadi Boutros (Fraunhofer IGD), Nasir Memon (NYU), Vitomir Štruc (University of Ljubljana), Andreas Uhl (Salzburg University)
2. 3D Biometrics with Monocular Vision
Description: In recent times digital biometrics is of immense importance in all spheres of life. Mostly the advances are in the direction of 3D biometrics and the face is the body part that is used mostly. Though face biometrics is one of the most used forms after fingerprint right now, it is also open to many kinds of presentation attack instruments. Presentation attack instruments are mainly videos, photographs or masks and many times expert impersonators with prosthetic makeup. The 3D face biometrics is sometimes strengthened with the ear, and in many cases, the ear alone is sufficient for the recognition of individuals. The ear is agnostic of expressions and thus easy to recognize but forging a plastic-based ear is also a lot easier than face. 3D ear recognition mitigates the effect to a considerable extent. 3D vascular biometrics and palm-based biometrics have recently gained steam. Thus in many forms of human biometrics, 3D information is crucial. But the need for sophisticated and expensive hardware components works as a deterrent to its widespread adoption. To record and promote this area of this research we plan to host this special session. We invite practitioners, researchers, and engineers from biometrics, signal processing, computer vision, and machine learning fields to contribute their expertise to uplift the state-of-the-art.
Organizers: Abhijit Das (BITS Pilani), Aritra Mukherjee (BITS Pilani), Xiangyu Zhu (CAS)
3. Long-Range Biometrics Challenges
Description: The next frontier in long-range biometrics, including biometric identification, is the recognition from long-range and elevated platforms. Specifically, developing a biometric system capable of accurate and reliable verification, recognition, and identification of persons at long distances and from elevated platforms across challenging capture conditions. We are requesting papers from all researchers working on these challenges.
Organizers: Ioannis A. Kakadiaris (University of Houston), Yi Yao (SRI International)
4. Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA-2023)
Description: Manipulated attacks in biometrics via modified images/videos and other material-based techniques such as presentation attacks and deep fakes have become a tremendous threat to the security world owing to increasingly realistic spoofing methods. Hence, such manipulations have triggered the need for research attention towards robust and reliable methods for detecting biometric manipulation attacks. The recent inclusion of manipulation/generation methods such as auto-encoder and generative adversarial network approaches combined with accurate localization and perceptual learning objectives added an extra challenge to such manipulation detection tasks. Due to this, the performance of existing state-of-the-art manipulation detection methods significantly degrades in unknown scenarios. Apart from this, real-time processing, manipulation on low-quality medium, limited availability of data, and inclusion of these manipulation detection techniques for forensic investigation are yet to be widely explored. Hence, this special session aims to profile recent developments and push the border of the digital manipulation detection technique on biometric systems. We invite practitioners, researchers, and engineers from biometrics, signal processing, material science, mathematics, computer vision, and machine learning to contribute their expertise to underpin the highlighted challenges. Further, this special session promotes cross-disciplinary research by inviting the practitioners in the field of psychology where one can perform the human observer (or super-recognizer) analysis to detect attacks.
Organizers: Abhijit Das (BITS Pilani), Meiling Fang (Fraunhofer IGD), Raghavendra Ramachandra (NTNU)
The submission will be part of the IJCB CMT submission website: https://cmt3.research.microsoft.com/IJCB2023. There is a special track for special sessions. When submitting papers, the authors will have to choose a specific special session as a subject area. The link to CMT as well as paper submission instructions and guidelines can be found on the website of the conference: https://ijcb2023.ieee-biometrics.org/paper-submission/
Paper submission deadline: July 31, 2023 (extended)
Decision notification: August 14, 2023
Camera-ready: August 21, 2023