IET Biometrics publishes original research and review articles which can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies. 

While focusing on core technological issues, it is recognized that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include topics where it can be shown that a paper can increase our understanding of biometric systems, signal future developments and applications for biometrics, or promote greater practical uptake for relevant technologies: 

Development and enhancement of individual biometric modalities including the established and traditional modalities (e.g. face, fingerprint, iris, signature and handwriting recognition) and also newer or emerging modalities (gait, ear-shape, neurological patterns, etc.) 
Multibiometrics, theoretical and practical issues, implementation of practical systems, multiclassifier and multimodal approaches 
Soft biometrics and information fusion for identification, verification and trait prediction 
Human factors and the human-computer interface issues for biometric systems, exception handling strategies 
Template construction and template management, ageing factors and their impact on biometric systems 
Usability and user-oriented design, psychological and physiological principles and system integration of biometric systems
Sensors and sensor technologies for biometric processing 
Database technologies to support biometric systems 
Implementation of biometric systems, security engineering implications, smartcard and associated technologies in implementation, implementation platforms, system design and performance evaluation 
Trust and privacy issues, security of biometric systems and supporting technological solutions, biometric template protection 
Biometric cryptosystems, security and biometrics-linked encryption 
Links with forensic processing and cross-disciplinary commonalities 
Core underpinning technologies (e.g. image analysis, pattern recognition, computer vision, signal processing, etc.), where the specific relevance to biometric processing can be demonstrated 
Applications of biometric systems and application-led considerations 
Position papers on technology or on the industrial context of biometric system development 
Adoption and promotion of standards in biometrics, improving technology acceptance, deployment and interoperability, avoiding cross-cultural and cross-sector restrictions 
Relevant ethical and social issues relating to biometric systems