IET Biometrics

SCI一区 EI同步收录 月刊 高认可度
IET Biometrics

更新时间:    浏览量:

期刊基础介绍

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

期刊核心参数

通讯方式
WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
涉及的研究方向
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
出版国家或地区
USA
出版语言
English
年文章数
18

CITESCORE

CiteScoreSJRSNIPCiteScore排名
6.800.5050.858
学科分区排名百分位
大类:Computer Science
小类:Computer Vision and Pattern Recognition
Q131 / 157
80%
大类:Computer Science
小类:Signal Processing
Q138 / 183
79%
大类:Computer Science
小类:Software
Q2130 / 490
73%

WOS期刊JCR分区

WOS分区等级:3区

按JIF指标学科分区收录子集JIF分区JIF排名JIF百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ3147/204
28.2%
按JCI指标学科分区收录子集JCI分区JCI排名JCI百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCESCIEQ4155/204
24.26%

期刊分区表预警名单

2025年03月发布的2025版:不在预警名单中

2024年02月发布的2024版:不在预警名单中

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

2020年12月发布的2020版:不在预警名单中

中科院2025年3月升级版

点击查看中国科学院期刊分区趋势图
大类学科小类学科Top期刊综述期刊
计算机科学 4区4区2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
3区1区4区

中科院2023年12月旧的升级版

大类学科小类学科Top期刊综述期刊
计算机科学 2区4区1区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
计算机:人工智能
4区1区4区

专业发表全程服务

论文润色、格式排版、投稿跟进、返修指导、检索协助一站式服务

免费评估稿件 & 咨询报价

期刊发表咨询/投稿模板领取

不清楚期刊是否匹配?

专业编辑一对一分析,免费选刊、评估、定制发表方案

立即免费咨询