This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …

Latent fingerprints are considered as one of the important evidences obtained from the site
of crime. The process of developing, acquiring, processing and matching of latent …

Fingerprint-based biometric systems are designed to authenticate and provide authorized
access to the users in various security applications. However, such systems can be …

As a popular living fingerprint feature, sweat pore has been adopted to build robust high
resolution automated fingerprint recognition systems (AFRSs). Pore matching is an …

In the environment of Internet of Things, the convolutional neural network (CNN) is an
important tool and method of image classification. However, the features that are extracted …

A typical biometric recognition system mainly consists of four modules, acquisition and
detection of biometric characteristics, extraction of a feature set, representation of the …

Latent fingerprint is considered as the key evidence during crime scene investigations.
Various powder and chemical methods are available for visualizing the latent fingerprints as …

Biometric systems based on touch less and less constrained palm print are being
increasingly studied since they allow a favorable trade-off between high-accuracy and high …

Extraction of fingerprint sweat pores is a critical step in those applications which are based
on highly secured features. Pores are varying in scale (size) and evenly distributed along …

Nowadays, high-resolution fingerprint images are more and more used in the fingerprint
recognition systems thanks to the recognition accuracy that they provide. Indeed, they offer …