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IET Biometrics


👁  25937 Views

 2 Reviews  

 Open Access      SCIE      Official Website     Submission Website
 

*Average Peer Review
33 Weeks
*Competitiveness
CiteScore
4.9

CiteScore Rank
Subject Area Rank Percentile
Category: Computer Science
Subcategory: Computer Vision and Pattern Recognition
56 / 183
Category: Computer Science
Subcategory: Signal Processing
63 / 203
Category: Computer Science
Subcategory: Software
205 / 503



Country/Area of Publication
USA
Publication Frequency
Bi-monthly
Publisher
Wiley

ISSN
2047-4938
E-ISSN
2047-4946
Year Publication Started
2012

Self-citation (2025-2026)
6.20%
Annual Article Volume
15
Gold OA Percentage
100.00%


Open Access Info
APC APC Waiver Other Charges
Yes: Check details
( USD2000; )
Yes: Check detailsNo

Journal Aim & Scope
The field of biometric recognition - automated recognition of individuals based on their behavioural and biological characteristics - has now reached a level of maturity where viable practical applications are both possible and increasingly available. The biometrics field is characterised especially by its interdisciplinarity since, while focused primarily around a strong technological base, effective system design and implementation often requires a broad range of skills encompassing, for example, human factors, data security and database technologies, psychological and physiological awareness, and so on. Also, the technology focus itself embraces diversity, since the engineering of effective biometric systems requires integration of image analysis, pattern recognition, sensor technology, database engineering, security design and many other strands of understanding.

The scope of the journal is intentionally relatively wide. While focusing on core technological issues, it is recognised that these may be inherently diverse and in many cases may cross traditional disciplinary boundaries. The scope of the journal will therefore include any 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
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 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


Web of Science Quartiles
WOS Quartile: Q4

Quartiles By JIFCollectionQuartileRankPercentage
Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ4163/210
Quartiles By JCICollectionQuartileRankPercentage
Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ4170/210
*Crowdsourced data
  • Journals In The Same Subject Area
  • CiteScore Trends
  • Self Citation Trends
  • Annual Article Volume Trends
  • Journal Title h-index CiteScore
    IEEE Communications Surveys and Tutorials14798.70
    Foundations and Trends in Machine Learning052.90
    PROCEEDINGS OF THE IEEE25060.30
    ACM COMPUTING SURVEYS13265.20
    Nature Machine Intelligence040.90
    Science Robotics032.10
    Cyborg and Bionic Systems021.80
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE32641.10
    Nature Computational Science025.40
    ARTIFICIAL INTELLIGENCE REVIEW6336.10
  • IET Biometrics IET Biometrics
    Predict CiteScore Trend:
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