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IET Biometrics 2023年12月最新中科院分区表数据已经更新!2024年预审已开通,评估通过后包通过,欢迎咨询!
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IET Biometrics
期刊名:

IET Biometrics

期刊名缩写:IET BIOMETRICS (此期刊被最新的JCR期刊SCIE收录)

期刊收录信息: SCIE Scopus收录 DOAJ开放期刊

信息更新时间:2023年12月
  • 影响因子: 2
  • 出版国家或地区: USA
  • 期刊ISSN: 2047-4938
  • 出版商: Wiley
  • E-ISSN: 2047-4946
  • 出版周期: Bi-monthly
  • JCR分区: Q4
  • 出版语言: English
  • 自引率: 0.00%
  • 出版年份: 2012
  • 是否OA开放访问: YES
  • 期刊官方网站: https://onlinelibrary.wiley.com/journal/20474946
  • 年文章数: 38
  • 期刊投稿网址: https://mc.manuscriptcentral.com/theiet-bmt
  • Gold OA文章占比: 57.48%
  • 通讯方式: WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
  • 期刊导读: 《IET Biometrics》杂志,2023年发布的影响因子为:2 ,中科院分区:4区,JCR分区:Q4,该期刊是由 USA, Wiley 出版的计算机科学类学术期刊,主要刊载计算机科学相关领域的原创研究文章和评论文章,该期刊目前收录在 【SCIE】 【Scopus收录】 【DOAJ开放期刊】 等数据库,平均审稿速度(33 Weeks),平均录用比例() 123学术网专业SCI论文编辑服务(包括SCI论文英语润色,同行资深专家修改润色,SCI论文专业翻译,SCI论文格式排版,专业学术制图,发表等)帮助作者准备稿件,如自行投稿请联系《IET Biometrics》杂志官方:https://onlinelibrary.wiley.com/journal/20474946,《IET Biometrics》通讯地址为:WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774。详细的期刊简介下拉到底部查看!
《IET Biometrics》JCR分区:Q4
按学科分区 JIF分区 JIF排名 JIF百分位

学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

分类:SCIE

Q4 113/145
22.4%
中科院《国际期刊预警名单(试行)》名单
2023年01月发布的2023版:不在预警名单中

2021年12月发布的2021版:不在预警名单中

2021年01月发布的2020版:不在预警名单中

《国际期刊预警名单(试行)》2023版共计包含28本期刊(查看


《国际期刊预警名单(试行)》2021版共计包含35本期刊(查看


《国际期刊预警名单(试行)》2020版共计包含65本期刊(查看

《IET Biometrics》中科院SCI期刊分区

2023年12月最新升级版:

大类学科 小类学科 Top 综述期刊
计算机科学 4区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能

4区
NO NO

2022年12月升级版:

大类学科 小类学科 Top 综述期刊
计算机科学 3区

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能

4区
NO NO
《IET Biometrics》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