Work

Trends and Prospects of Biometrics: From Sensing to Perception and Cognition

Year: 2026

Type: editorial

Abstract: 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.

Source: Sensors

DOI: 10.3390/s26092571

Authors: Zhicheng Cao, Natalia Schmid, Liaojun Pang

Institutions: Xidian University, West Virginia University

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

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