Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …

Effective user authentication is key to ensuring equipment security, data privacy, and
personalized services in Internet of Things (IoT) systems. However, conventional mode …

An image texture was defined in terms of pixel intensities and directionality. However, most
of the current texture representation methods did not consider the two key factors …

Exascale computing requires accelerators with ultrahigh power efficiency. Digital signal
processors (DSPs), the most important embedded processors widely known for high power …

In current computer vision tasks, deep convolutional neural networks (DCNN) achieve state-
of-the-art results. At present, the DCNN has been widely used in many usage scenarios. It is …

Fingerprint recognition has always played a key role in forensic and commercial
applications. The most challenging part of this recognition is to detect the accurate position …

A pose of fingerprint composes of a reference point and its corresponding orientation. The
reliable pose plays a crucial role in fingerprint alignment and registration. Pose estimation of …

Robust fingerprint pre-alignment is vital for identification systems and biometric
cryptosystems based on fingerprint minutiae, where computation of a relative alignment by …

Multimodal biometric-based recognition has been an active topic because of its higher
convenience in recent years. Due to high user convenience of finger, finger-based personal …

Singular points of a fingerprint image are special locations having high curvature properties.
They can play a pivotal role in fingerprint normalization and reliable feature extraction …