CALL FOR PAPERS
IET Biometrics Special Issue on
UNCONSTRAINED EAR RECOGNITION
Motivation
Despite the numerous application possibilities in security,
surveillance applications, forensics, criminal investigations or border
control, the existing research in ear recognition has seldom gone beyond
laboratory settings. This can mostly be attributed to the enormous
appearance variability of ear images when captured in unconstrained
settings. However, due to recent advances in computer vision, machine
learning and artificial intelligence (e.g. with deep learning), many
recognition problems are now solvable in unconstrained settings and many
biometric modalities (including ear images) that were commonly too
complex for real-life deployment are now becoming a viable source of
data for identity recognition.
The goal of this special issue is to present the most advanced and
up-to-date work related to unconstrained ear recognition, report recent
findings and make fundamental and/or empirical contributions to the
field. The special issue is meant to reflect the current state of
technology in the area of ear recognition and serve as a reference for
researchers working on problems relevant to ear-recognition technology.
Topics of Interest
We solicit original high-quality papers on various topics related to
ear recognition in unconstrained settings. Authors of submitted papers
are requested to clearly explain how their work contributes to the
field. Topics of interest include, but are not limited to:
• Pre-processing techniques for ear recognition
• Normalization techniques for ear recognition
• Ear recognition in unconstrained settings
• Ear detection/segmentation/localization techniques
• Ear recognition with different modalities (2D, 3D, IR, NIS, ear-prints, heterogeneous)
• Machine learning techniques for ear recognition
• Elimination of influence of covariate factors
• Context-aware ear recognition and detection
• Fusion techniques involving ear images
• Individuality models/studies for ear recognition
• Scalability studies for ear recognition technology
• New datasets and performance evaluations
• Overviews and surveys related to ear recognition
• Related applications (e.g., in forensics).
All submissions will undergo a rigorous review process conducted by experts in the field.
Important Dates
Submission deadline: September 1st, 2017
Author notification: April 3rd, 2018
Target publication date: May, 2018
Guest Editors
Peter Peer, University of Ljubljana, Slovenia
Vitomir Štruc, University of Ljubljana, Slovenia
