Trends and Prospects of Biometrics: From Sensing to Perception and Cognition
Biometrics technology is undergoing a paradigm shift from static single-modal authentication to continuous multimodal sensing, combined with higher-performing algorithms powered by new deep learning techniques. This editorial reviews cutting-edge advancements and trends in the field of biometrics in four dimensions—novel sensors, modalities, algorithms, and equipment—as well as summarizes the contributions to this Special Issue, “New Trends in Biometric Sensing and Information Processing” by grouping them into the corresponding aspects of breakthroughs in this field.
Authors
- Zhicheng Cao (ORCID: https://orcid.org/0000-0003-4856-406X)
- Natalia A. Schmid (ORCID: https://orcid.org/0000-0003-0531-7157)
- Liaojun Pang (ORCID: https://orcid.org/0000-0002-2388-2806)
Institutions
- West Virginia University (US)
- Xidian University (CN)
Publication Details
- Journal
- Sensors
- Published
- 2026-04-22
- DOI
- https://doi.org/10.3390/s26092571
- Primary Topic
- Biometric Identification and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Key Research and Development Projects of Shaanxi Province
- Natural Science Basic Research Program of Shaanxi Province