IET Biometrics
IET Biometrics
期刊ISSN: 2047-4938
E-ISSN: 2047-4946
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自引率: 0%
SCI期刊JCR分区
SCI期刊JCR分区等级:3区
按学科分区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q3
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q4
《新锐期刊分区表》(2026年3月发布)
大类学科
计算机科学
4区
小类学科
计算机:人工智能
4区
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综述期刊
最新中科院SCI期刊分区(2025年3月升级版)
大类学科
计算机科学
4区
小类学科
计算机:人工智能
4区
Top期刊
综述期刊
期刊简介
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
出版信息
出版商
Wiley
涉及的研究方向
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
刊期
Bi-monthly
年文章数
18
出版国家或地区
USA
是否OA
Cite Score(2025年最新版)
Cite Score SJR SNIP 排名
6.8 0.505 0.858
学科
大类学科:Computer Science
小类学科:Computer Vision and Pattern Recognition
分区
Q1
学科
大类学科:Computer Science
小类学科:Signal Processing
分区
Q1
学科
大类学科:Computer Science
小类学科:Software
分区
Q2
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