Cancelable biometric schemes have been widely studied to protect templates in biometric
authentication over networks. These schemes transform biometric features and perform …

In this paper, we address the problem of biometric recognition using the multimodal
physiological signals. To this end, four different signals are considered: heart rate (HR) …

The traditional digital data security mechanisms follow either cryptography or authentication.
The primary point of contention with these mechanisms remains either memorizing or …

In this paper, we introduce a new concept of digital signature that we call fuzzy signature,
which is a signature scheme that uses a noisy string such as biometric data as a private key …

Abstract Background and Objective In recent years, many attempts have been made to
design reliable systems for identifying individuals using biometrics. Electrocardiogram …

Writer characterization from images of handwriting has remained an important research
problem in the handwriting recognition community that finds applications in forensics …

This paper presents a novel method for personal authentication of individuals using a deep
learning approach. The reported method implements the fusion of two biometric attributes …

Biometrics security is a dynamic research area spurred by the need to protect personal traits
from threats like theft, non‐authorised distribution, reuse and so on. A widely investigated …

Integration of scores from multiple biometric modalities has become promising to alleviate
the limitations of unibiometric systems such as sensitivity to outliers, erroneous …

Human gait recognition is a biometric technique for persons identification based on their
walking manner. This paper proposes a novel gait recognition approach capable of …