大类:Computer Science 小类:Computer Vision and Pattern Recognition
Q2
34 / 106
大类:Computer Science 小类:Software
Q2
143 / 407
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
Language
Manuscripts must be written in American English and be grammatically and linguistically correct. Authors should seek assistance with style, grammar and vocabulary if necessary. Your manuscript may also be sent back to you for revision if the quality of English language is poor.
经LetPub语言功底雄厚的美籍native English speaker精心编辑的稿件,不仅能满足IET Biometrics的语言要求,还能让IET Biometrics编辑和审稿人得到更好的审稿体验,让稿件最大限度地被IET Biometrics编辑和审稿人充分理解和公正评估。LetPub的专业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,专业学术制图等)帮助作者准备稿件,已助力全球15万+作者顺利发表论文。部分发表范例可查看:服务好评论文致谢 。
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