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Emerging Topics on Privacy and Security of Biometrics

Call for Papers

Biometrics refers to the use of distinctive anatomical and behavioral characteristics or identifiers for automatically recognizing a person and has adopted a range of human traits for this purpose, including face, iris, fingerprint, and voice. In recent years, stimulated by consumer electronics products and Internet of Things (IOT) devices, biometric systems have been widely deployed. This field is of growing interest not only for the academy, but also for the industry, the government, and the general public.

However, since the biometric is unique and cannot be revoked, stolen biometric template can be a disaster to users. Public acceptance of biometrics technology will depend on the ability of system designers to demonstrate that these systems are robust, have low error rates, and are tamperproof. The privacy and security issues of biometrics have been gaining increasing attentions from both researchers and end users. This area is highly interdisciplinary since it encompasses various aspects of different disciplines (e.g., digital image processing, machine learning, cryptology, and information theory). Recent progress in fuzzy extractor and representation learning has advanced this area to a new level.

This special issue aims to provide a forum for academic researchers and industry partners to present their latest original work, for example, stimulating discussion on existing and emerging challenges on privacy and security issues of biometrics and proposing and evaluating feasible solutions that will advance the research in this field.

Potential topics include but are not limited to the following:

  • Biometric recognition algorithms (e.g., the matching of face, fingerprint, palm print, iris, keystroke, and gait)
  • Deep learning approaches for unconstrained biometric recognition
  • Biometrics systems for secure applications (e.g., e-commerce, e-banking, and e-government)
  • Biometric systems for forensic applications
  • Reliability, availability, and dependability of biometrics systems
  • Context-aware techniques for biometric detection and recognition
  • Biometric encryption systems (e.g., fuzzy vault, fuzzy commitment, fuzzy extractor, and secure sketch)
  • Biometrics, Public Key Infrastructure, and Identity Base Encryption
  • Distributed biometric recognition system
  • Noninvertible function design for biometric feature transformation
  • Biometrics systems for medical applications
  • Multisensor multimodal analysis, fusion, and features extraction for biometrics systems applications
  • Biometric template indexing and matching on a large database
  • Spoofing and liveness detection of biometrics
  • Person reidentification in the wild
  • Management and operations of biometrics systems
  • Soft biometric trait extraction (e.g., tattoo and demographic features)
  • Ethical issues, privacy protection, and deidentification
  • Novel databases and performance benchmarks
  • Video surveillance system

Authors can submit their manuscripts through the Manuscript Tracking System at

Manuscript DueFriday, 29 September 2017
First Round of ReviewsFriday, 22 December 2017
Publication DateFriday, 16 February 2018

Lead Guest Editor

  • Eryun Liu, Zhejiang University, Hangzhou, China

Guest Editors

  • Jun Zhang, Duke University, Durham, USA
  • Kai Cao, Michigan State University, East Lansing, USA