IET Biometrics

Aims & Scope

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...

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,100.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Strengths and weaknesses of deep learning models for face recognition against image degradations

  Citation: 179

  Authors: Klemen, Vitomir, Anais, Matthieu, Hazım K.

• A Survey on Deepfake Video Detection

  Citation: 170

  Authors: Peipeng, Zhihua, Jianwei, Yujiang

• Presentation attack detection methods for fingerprint recognition systems: a survey

  Citation: 167

  Authors: Ctirad, Christoph

• Overview of research on facial ageing using the FG-NET ageing database

  Citation: 163

  Authors: Gabriel, Andreas, Nicholas, Timothy F.

• Ear biometrics: a survey of detection, feature extraction and recognition methods

  Citation: 162

  Authors: A., C.

• Face spoofing detection from single images using texture and local shape analysis

  Citation: 144

  Authors: J., A., M.

• Grey Wolf optimisation‐based feature selection and classification for facial emotion recognition

  Citation: 137

  Authors: Ninu Preetha, Brammya, Ramya, Praveena, Binu, Rajakumar

• A survey of face recognition techniques under occlusion

  Citation: 118

  Authors: Dan, Raymond, Luuk

• Motion‐based counter‐measures to photo attacks in face recognition

  Citation: 109

  Authors: André, Murali Mohan, Sébastien

• Robust gait recognition: a comprehensive survey

  Citation: 100

  Authors: Imad, Noor, Somaya