Journal: Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 31 December 2020.
URL:https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Biometrics
Flyer: https://www.mdpi.com/journal/applsci/special_issue_flyer_pdf/Machine_Learning_Biometrics/web

Dear colleagues,

Biometrics has become a burgeoning research area due to the industrial and government needs for recognition and security concerns. It has also become a center of focus for many applications, such as identity authentication and identification in civil and forensic fields. Recently, advanced machine learning has received a great deal of attention in solving difficult and complex problems related to biometric recognition and security, where conventional machine learning techniques have shown their limitations.

This Special Issue aims to solicit original research papers, as well as review articles focusing on biometrics and its applications based on advanced machine learning algorithms. We are inviting original research works covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in the biometrics domain.

Topics of interest include but are not limited to the following:

    – Biometrics-based authentication and identification;
    – Physiological and behavioral biometrics (e.g., finger, palm, face, eye, ear, iris, retina, vein, gait, handwriting, voice);
    – Biometric feature extraction and matching;
    – Signal, image, and video processing in biometrics;
    – Advanced pattern recognition in biometrics;
    – Machine learning and deep learning in biometrics;
    – Artificial intelligence in biometrics;
    – Fusion techniques in biometrics;
    – Soft biometrics;
    – Multimodal biometrics;
    – Security and privacy in biometrics;
    – Big data challenges in biometrics;
    – Embedded biometric systems;
    – Emerging biometrics;
    – Related applications.

Assoc. Prof. Dr. Larbi Boubchir
Prof. Dr. Elhadj Benkhelifa
Prof. Dr. Boubaker Daachi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Special Issue Editors:

Assoc. Prof. Dr. Larbi Boubchir (larbi.boubchir@ai.univ-paris8.fr)
Guest Editor
LIASD research Lab. – University of Paris 8, 2 Rue de la Liberté, 93526 Saint-Denis, France
Interests: biomedical signal processing; EEG; image processing; machine learning; brain–computer interface; biometrics

Prof. Dr. Elhadj Benkhelifa (E.Benkhelifa@staffs.ac.uk)
Guest Editor
Cloud Computing and Applications Research Lab, School of Computing and Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK
Interests: cloud computing; cybersecurity; software engineering; software defined systems; cloud forensics; IoT; data governance

Prof. Dr. Boubaker Daachi (bd@ai.univ-paris8.fr)
Guest Editor
LIASD research Lab. – University of Paris 8, 2 Rue de la Liberté, 93526 Saint-Denis, France
Interests: robotics; soft computing; BCI; WSN; biometrics