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Special Session on "Advances in Deep Learning for Biometrics and Its Applications", in the 31st International Conference on Neural Information Processingthe (ICONIP 2024)
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The biometric is a growing technology due to the needs of the society, companies and governments for recognition, security and privacy concerns. It has also become a growing research area that offers greater security and convenience solutions for various applications in biometrics.

The advances in artificial intelligence, in particular in artificial learning, have allowed to resolve various complex problems related to recognition, detection, control, security, forensic identification, etc. Indeed, most of biometric technologies are based on a typical representation, including biometric data processing, feature extraction, and classification process. Deep learning offers an end-to-end learning paradigm allowing to unify these parts. It has been shown to be a promising and powerful alternative to conventional approaches based on machine learning.

This special session aims to bring together researchers, scientists and industry professionals to present and discuss their recent contributions in deep learning for biometrics and its applications.
Topics

The main topics that are of interest to this special session include, but are not limited to, the following:

- Deep learning for biometrics authentication and identification
- Physiological and behavioral biometrics for recognition and security (e.g., fingerprint, palmprint, palm vein, face, iris, ear, gait, voice, etc.)
- Soft biometrics
- Multimodal biometrics
- Big Data challenges in biometrics
- Attacks on biometric systems
- Security and privacy in biometrics
- Forensic identification
- Emerging biometrics
- Related applications

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Organizers:

Larbi Boubchir (LIASD – University of Paris 8, France)
Boubaker Daachi (LIASD – University of Paris 8, France)
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You can find instructions and the link to the submission form here:

https://iconip2024.org/call-for-papers/