The outbreak of novel coronavirus 2019 (COVID-19) has spurred the urgent development of biometric recognition technologies that are able to analyze and identify subjects wearing facial masks, especially in high security applications. Indeed, in this challenging context, the problem of face recognition is often equivalent to periocular recognition involving the iris, pupil, sclera, upper and lower eyelids, eye folds, eye corners, skin texture, fine wrinkles, skin color, skin pores, etc. Notwithstanding the enormous potential of the ocular traits in both controlled and uncontrolled environments, their possible fusion still needs to be investigated to develop robust face recognition techniques for different types of images acquired using mobile phones, near-infrared and thermal cameras, surveillance cameras, etc. Further, face dynamics, i.e., movement of facial surface due to facial muscles, has to also be taken into account since it can significantly alter facial appearance thereby introducing errors in biometric recognition approaches based only on static traits. The presence of a facial mask also necessitates the exploration of the ear as a biometric cue in profile face images. These techniques will also be relevant in other scenarios like hospitals, where sanitary masks are worn by healthcare workers in infectious disease departments, or building sites, where masks are worn by construction workers to avoid inhalation of dust.
In addition, due to hygiene considerations, the development of touchless biometric technologies has gained importance in the wake of COVID-19. Designing fingerprint sensors and systems that do not require the subject to touch a platen would be necessary to avoid transmitting germs from one user to another. Such images have to be compatible with legacy fingerprint images acquired using traditional contact-based sensors.
The goal of this Special Issue is to publish work in the biometrics field that can address the various concerns induced by the rapid spread of COVID-19.
Topics of interested include but are not limited to:
1. Face image reconstruction from masked faces
2. Partial face recognition from near-infrared and/or thermal images
3. Periocular biometrics
4. Iris recognition in the visible spectrum
5. Eye blink and gaze analysis
6. Pupil dynamics for biometric recognition
7. Face dynamics from occluded face images
8. Ear recognition
9. Touchless fingerprint recognition
10. Novel biometrics for minimizing infection transmission
To submit your paper and for more information about the journal please visit: https://www.journals.elsevier.com/pattern-recognition
When submitting your manuscript please select the Article Type “SI: Biometrics COVID-19”. Please submit your manuscript before the submission deadline.
Submission window opens: September 15th 2020
Submission Deadline: November 30th 2020
Publication Date: August 2021
Michele Nappi, Università di Salerno, Italy, email@example.com
Arun Ross, Michigan State University, USA, firstname.lastname@example.org
Marta Gomez-Barrero, Hochschule Ansbach, Germany, email@example.com
PC Yuen, Hong Kong Baptist University, Hong Kong, firstname.lastname@example.org