In recent time, there has been high level of impersonation experienced on a daily basis in
both private and public sectors, the ghost worker syndrome which has become a menace …

Given an image from a biometric sensor, it is important for the feature extraction module to
extract an original set of features that can be used for identity recognition. This form of …

Purpose–This paper aims to extend the technology acceptance model (TAM) to explore the
factors influencing a hotel customer's intention to use a fingerprint system instead of a …

Accurate fingerprint segmentation is crucial for reliable fingerprint recognition systems. This
paper presents two novel segmentation methods, GMFS and SUFS, inspired by the KISS …

Mobile devices contain a multitude of sensitive data and provide access to even more data
as well as services somewhere on the Internet. Even if only temporarily in the hands of non …

Artificial intelligence (AI) algorithms have emerged in the educational domain as a tool to
make learning more efficient. Different applications for mastering particular skills, learning …

Sparse representation has exhibited excellent performance in face recognition. However,
this method requires some areas for improvement, especially on insufficient face samples …

Fingerprint recognition is an important tool for personal identification due to its versatility,
user-friendliness, and accuracy. Fingerprint orientation field estimation, a crucial step in …

Fingerprint singularities play an important role in several fingerprint recognition and
classification systems. Although some general relationships and constraints about the …

Personal identification using an individual's periocular skin texture (eg the texture of the skin
around the eye) is a promising and exciting new biometric modality [11]. For the application …