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 recently received its inaugural Clarivate Impact Factor of 5.0, 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
Find archived issues of the IEEE Biometrics Council Compendium →
In 2025 T-BIOM obtained an Impact Factor of 5.0 (Clarivate, 2025) and has a Scopus CiteScore of 11.9.
T-BIOM News
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 [...]
Exciting News: IEEE T-BIOM Receives First Impact Factor: 5.0
We’re pleased to share that our flagship journal IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) has received its first official Impact Factor: 5.0 (Clarivate, 2025) — a strong and encouraging start! In addition, our CiteScore has risen to [...]
Call for Papers: IEEE TBIOM Special Issue on “Generative AI and Large Vision-Language Models for Biometrics”
We invite submissions for the IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Special Issue on Generative AI and Large Vision-Language Models for Biometrics. ****************************************************************************************** CALL FOR PAPERS IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Special [...]
TBIOM Special Issue Announced for ICCV 2025 Workshops
We are pleased to announce that there will be a TBIOM Special Issue based on two workshops at ICCV. These are: Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) cv4biom.org; and Workshop on Foundation and Generative Models in [...]
