Biometric Recognition and Security: Theory, Methods and Applications describes recent methods of biometric recognition for the identification and verification of individuals based on their physiological traits (palm of the hand, fingerprints of the fingers of the hand, and ear) and behavioral characteristics (walking characteristics). The book is ideal for engineering students, professional masters or research doctoral students and others who are interested in the field of biometrics. It can also be used by industrialists wishing to develop biometric recognition systems or by teacher-researchers responsible for developing lectures on biometric recognition.
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Engineers, technicians, teachers, researchers, science students, scientists
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 18 mm
Gewicht
ISBN-13
978-1-78548-258-8 (9781785482588)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Larbi Boubchir (BEng, MAS, PhD, SMIEEE) is Associate Professor of computer science at the University of Paris 8, France; within the department of Computer Science and LIASD research Lab. Before joining University of Paris 8, he was researcher at the French National Centre for Scientific Research (CNRS), France, and then he held a teaching-research fellow position at Northumbria University at Newcastle, UK, within the Computer and Electronic Security Systems research group (CESS) of the department of Computer Science and Digital Technologies. His research interests include: image processing, biomedical signal processing, biomedical engineering, brain-computer-interfaces and biometric security. He has authored and co-authored more than 50 publications. He has served as a reviewer, review committee member, technical program committee member and organizing committee member for many international conferences, and reviewed papers for several journals including IEEE Transactions, Elsevier and Springer. He currently serves as an Associate Editor for the Journal of Medical and Biological Engineering (Springer). Dr. Boubchir is a Senior Member of IEEE. He is also a member of IEEE SPS, IEEE EMBS, IARP and AFRIF.
Autor*in
Associate Professor, Department of Computer Science and LIASD Research Lab, University of Paris 8, France
1. Multi-spectral palm-print identification and recognition
2. Finger-Knuckle-Print recognition
3. Human Gait recognition
4. Human Ear recognition
