The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

The increasing demand for traveler clearance at international border crossing points (BCPs)
has motivated research for finding more efficient solutions. Automated border control (ABC) …

This book introduces various machine learning methods for cyber security analytics. With an
overwhelming amount of data being generated and transferred over various networks …

In this paper, we utilize the electrocardiogram (ECG) as a primary biometric modality in
human identification. The design steps of the proposed approach are the following. First, we …

The high variability of fingerprint data (owing to, eg, differences in quality, moisture
conditions, and scanners) makes the task of minutiae extraction challenging, particularly …

Minutiae, as the essential features of fingerprints, play a significant role in fingerprint
recognition systems. Most existing minutiae extraction methods are based on a series of …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …

Bloodstains provide admissible information for crime scene investigators. The ability to
resolve latent bloodstains that are commonly found in real scenarios is therefore pivotal to …

In recent years, biometric technology gets extensive attention and significant importance in
various domains of life for security and identification systems. The fingerprint modality, which …

A fingerprint identification system comprising a smart device, a fingerprint scanner, a
processor coupled to a transceiver and to the fingerprint scanner, and a digital storage …