Latent fingerprint identification is such a difficult task to law enforcement agencies and
border security in identifying suspects. It is a too complicate due to poor quality images with …

Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …

The widespread diffusion of mobile devices has led to a new method of value transfer that
retains the features of mobile devices: mobile payments. Many researchers have …

Recognizing people by their ear has recently received significant attention in the literature.
Several reasons account for this trend: first, ear recognition does not suffer from some …

Most existing computer and network systems authenticate a user only at the initial login
session. This could be a critical security weakness, especially for high-security systems …

Fingerprint matching has been successfully used by law enforcement for more than a
century. The technology is now finding many other applications such as identity …

Preserving the privacy of digital biometric data (eg, face images) stored in a central
database has become of paramount importance. This work explores the possibility of using …

The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

Electroencephalography (EEG) based biometric systems are gaining attention for their anti-
spoofing capability but lack accuracy due to signal variability at different psychological and …

Biometrics authentication is an effective method for automatically recognizing a person's
identity. Recently, it has been found that the finger–knuckle-print (FKP), which refers to the …