Recently, deep features extracted from Convolutional Neural Networks (CNNs) have been
widely adopted in various applications, such as face recognition. Compared with the …

Abstract Advances in Information and Communication Technology (ICT) have had significant
impact on every-day life and have allowed us to share, store and manipulate information …

Most existing ICP (Iterative Closet Point)-based 3D ear recognition approaches resort to the
coarse-to-fine ICP algorithms to match 3D ear models. With such an approach, the gallery …

Pervasive in nature and extensively used for a wide range of features, smartphone provides
functionality such as social networking, online shopping, mobile gaming, private/group …

Nowadays, it is usual to work with large amounts of data since our capacity of collecting and
storing information has increased significantly. The extraction of knowledge from these …

Fuzzy set theory originates to a great extent of interest among the researchers in past
decades. It is a key tool to handle the imperfect of information in the diverse field. Typically, it …

The capabilities of biometric systems, such as face or fingerprint recognition systems, have
recently made extraordinary leaps by the emergence of deep learning. However, due to the …

Recently, researches have shown to employ implicit behavioral biometrics via built-in
sensors (eg, gyroscope) for user identification on smartphones. The majority of prior studies …

Cybersecurity threats are serious, costly and challenging because they are various,
evolutive and easily spread. This chapter is dedicated to brief these issues, its evolution and …

Two types of scores extracted from two-dimensional (2-D) and three-dimensional (3-D)
palmprint for personal recognition systems are merged, introducing a local image descriptor …