Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

The quick and accurate identification of criminal activity is paramount to securing any
residence. With the rapid growth of smart cities, the integration of crime detection systems …

We develop a framework for multibiometric systems, which combines a deep learning
technique with the serial fusion method. Deep learning techniques have been used in …

With the growing demand for information security, biometric recognition technology has
been widely used in daily life. Due to the disadvantages of unimodal biometric system …

Person Identification of individuals has dependably been a challenge particularly when it
needs to manage the big data sets and the robustness against the components influencing …

This paper proposes a novel approach for privacy-preserving facial recognition based on
the new feature computation technique: Local Binary Pattern from Temporal Planes (LBP …

The paper presents a solution to the problem of person recognition by social robots via a
novel brain-inspired multi-modal perceptual system. The system employs spiking neural …

Biometrics is an active area of research because of the increase in need for accurate person
identification in numerous applications ranging from entertainment to security. Unimodal and …

Deep learning is an evolutionary advancement in the field of machine learning. The
technique has been adopted in several areas where the computer after processing volumes …

A multistage biometric verification system uses multiple biometrics and/or multiple biometric
verifiers to generate a verification decision. The core of a multistage biometric verification …