IET Biometrics - Wiley-Blackwell - Impact Factor

IET Biometrics - Wiley-Blackwell | 2024 Impact Factor:2 | Cite Score:6.8 | Q2

IET Biometrics Journal - Wiley-Blackwell

Impact Factor and Journal Rank of IET Biometrics

About: IET Biometrics Journal is a peer-reviewed journal published by the Institution of Engineering and Technology (IET). It focuses on research in the field of biometrics, providing a platform for researchers, academics, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of biometric technologies for identification and verification purposes.
Objective: The primary objective of IET Biometrics Journal is to promote research and innovation in biometrics. The journal aims to explore methodologies, tools, and applications that enhance the accuracy, reliability, and security of biometric systems. By publishing high-quality research, the journal contributes to the advancement of biometric solutions and their impact on various sectors, including security, healthcare, finance, and public services.
Interdisciplinary Focus: IET Biometrics Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to biometrics, including but not limited to: Computer Science Electrical Engineering Information Security Pattern Recognition Artificial Intelligence Data Science Human-Computer Interaction Forensic Science Psychology Law and Ethics This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced techniques and solutions that address the complex challenges in biometric identification and verification.
Global Reach and Impact: With a broad international readership and authorship, IET Biometrics Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in biometrics worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as biometric system design, algorithm development, performance evaluation, and privacy considerations.
High Standards and Rigorous Review: Maintaining high academic standards, IET Biometrics Journal conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: IET Biometrics Journal plays a significant role in advancing research and practice in biometrics. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in biometric technologies. It serves as an essential resource for researchers, practitioners, and policymakers seeking to enhance biometric systems, improve security measures, and address ethical and privacy issues associated with biometric data.

Journal Home: Journal Homepage

Editor-in-Chief: James Wayman

Scope: The IET Biometrics Journal, published by the Institution of Engineering and Technology (IET), is a leading peer-reviewed journal dedicated to the field of biometrics. It provides a platform for researchers, practitioners, and academics to share their innovative research findings and practical insights on various aspects of biometric technologies and their applications. Here is an overview of its key focus areas and scope:
1. Biometric System Design and Implementation:
Research on the design, development, and implementation of biometric systems, including hardware and software components.
Studies on system architectures, integration of biometric modalities, and performance optimization.
2. Biometric Data Acquisition and Preprocessing:
Advancements in techniques for acquiring biometric data from various modalities, such as fingerprint, face, iris, voice, gait, and DNA.
Research on preprocessing methods, including noise reduction, normalization, and feature extraction.
3. Biometric Feature Extraction and Matching:
Exploration of algorithms and methods for extracting distinctive features from biometric data and matching them against stored templates.
Studies on improving the accuracy, speed, and robustness of biometric matching algorithms.
4. Multimodal Biometrics:
Research on the fusion of multiple biometric modalities to enhance recognition performance, reliability, and security.
Studies on multimodal system design, data fusion techniques, and cross-modal integration.
5. Biometric Security and Privacy:
Advancements in securing biometric systems against various threats, including spoofing, tampering, and adversarial attacks.
Research on privacy-preserving biometric techniques, secure template storage, and user privacy protection.
6. Biometric Performance Evaluation:
Exploration of methods and metrics for evaluating the performance of biometric systems, including accuracy, reliability, and usability.
Studies on benchmarking, standardization, and large-scale testing of biometric systems.
7. Biometric Applications:
Research on the application of biometric technologies in various domains, such as security, healthcare, finance, forensics, and border control.
Studies on the effectiveness and impact of biometric systems in real-world scenarios and industry-specific use cases.