An EEG signal (Electroencephalogram) is a bioelectric phenomenon reflecting human brain
activities. In this paper, we propose a novel deep learning framework ESML (EEG-based …

Machine learning methods are used for purposes such as learning and estimating a feature
or parameter sought from a dataset by training the dataset to solve a particular problem. The …

MODERN FORENSIC TOOLS AND DEVICES The book offers a comprehensive overview of
the latest technologies and techniques used in forensic investigations and highlights the …

Biometric signal consisting of irrelevant or non-distinctive features can contain useful
correlational properties that privacy-preserving verification schemes can exploit. While an …

A review of techniques to identify speakers from their voices is presented, noting strengths
and weaknesses of various methods. Similar acoustic analysis has been often used for both …

Dental biometrics is a type of biometrics that uses dental information to identify individuals.
Well-known biometric features such as fingerprints and gait images have been successfully …

Interest in facial recognition hypotheses and algorithms has grown steadily over the last few
decades. Video monitoring, criminal identification, building access control, and unmanned …

Ear biometrics, the use of the unique physical characteristics of the ear for identification
purposes, has gained increasing attention in recent years due to its high level of accuracy …

Biometric systems have experienced a large development over the last years since they are
accurate, secure and in many cases, more user convenient than traditional credential-based …

Combining match scores in multibiometrics via fusion is a well-established approach to
improving recognition performances. However, when scores are missing, this can degrade …