About IEEE T-BIOM (IF: 5.0)
The IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) is a peer‑reviewed journal that publishes high-quality research at the intersection of biometrics, behavioral analysis, and identity science. It received its inaugural Clarivate Impact Factor of 5.0 in 2024, and this high level has been maintained for 2025 at 4.4, both reflecting its growing influence in the field. T-BIOM publishes original articles on all aspects of biometrics (i.e. recognizing people through their physiological or behavioral traits such as face, fingerprint, iris, and signature), including theory, applications, systems, and surveys. Biometrics are personal identity characteristics where people are recognized by who they are rather than by what they own; behavior is the typical movement of a person that is unique and identifiable; identity science underlies the application of biometrics. Papers focusing on ramifications of these areas will also be welcomed, such as security of such systems, standards for their deployment, and new architectures and systems are also welcomed. Broad topics of interest include but are not limited to:
- Biometric modalities and their fusion
- Novel pattern classification and machine learning, including deep learning, algorithms for biometrics and identity science
- Behavior analysis related to biometrics and identity science
- Security of biometrics and identity systems
- Applications including forensics, healthcare, and law enforcement
- Position papers which consider topics including visionary ideas or future routes for development
Find archived issues of the IEEE Biometrics Council Compendium →
T-BIOM Impact Factor: 2025, 4.4; and 2024, 5.0. T-BIOM Scopus CiteScore: 2025, 9.6; 2024, 11.9; and 2023, 10.9.
T-BIOM News
Call for Papers: IEEE T-BIOM Special Issue on Identity-Centric Foundation Models for Trustworthy Biometric Recognition
We are pleased to announce an IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Special Issue on Identity-Centric Foundation Models for Trustworthy Biometric Recognition. This special issue focuses on identity-centric foundation models for trustworthy biometric recognition. It seeks new [...]
Call for Papers: IEEE T-BIOM Special Issue on Human Recognition in Aerial Surveillance
We are pleased to announce an IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Special Issue on Human Recognition in Aerial Surveillance, the first dedicated T-BIOM forum on biometric recognition under aerial and long-range sensing conditions. The call is [...]
IEEE T-BIOM Announces 2026 Outstanding Associate Editor and Outstanding Reviewer Awards
We are pleased to announce the IEEE T-BIOM Outstanding Associate Editor Award and the IEEE T-BIOM Outstanding Reviewers. We are awarding the prizes based on level of effort, efficiency and timeliness and on ratings by the IEEE TBIOM Editorial Board as evaluated by Mark [...]
Position papers: new type of papers at T-BIOM
IEEE T-BIOM now welcomes submissions of Position Papers aimed to stimulate discussion and forward-thinking dialogue about the future trajectory of biometric technology, applications, policy, evaluation, and ethical frameworks. Unlike conventional articles, position papers are shorter and should present a clear, [...]
T-BIOM Articles – 2025, Q4 (Fourth Issue)
Unsupervised Gait Recognition With Selective Fusion Xuqian Ren;Shaopeng Yang;Saihui Hou;Chunshui Cao;Xu Liu;Yongzhen Huang Publication Year: 2025,Page(s):527 - 540 Offline Signature Verification: Exploring Intra-Variability Across Time Intervals Kumari Priya;Chandranath Adak;Shivam Anand;Soumi Chattopadhyay Publication Year: 2025,Page(s):541 - 549 Mitigating Replication and Bias in Diffusion-Based Face Image [...]
T-BIOM Articles – 2025, Q3 (Third Issue)
Person De-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along With New Dimensions Wasiq Khan;Luke K. Topham;Umar Khayam;Sandra Ortega-Martorell;Heather Panter;Darren Ansell;Dhiya Al-Jumeily;Abir J. Hussain Publication Year: 2025,Page(s):293 - 312 Deep Age-Invariant Fingerprint Segmentation System M. G. Sarwar Murshed;Keivan Bahmani;Stephanie [...]
