Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659106232 ISBN 13: 9783659106231
Librería: preigu, Osnabrück, Alemania
EUR 57,95
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Contribution To The Solution Of Fingerprint Identification Problem | Fingerprints Classification and Identification: A Statistical, Structural and Artificial Neural Networks Approach | Khaled Nagati | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659106231 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659106232 ISBN 13: 9783659106231
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 154,63
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659106232 ISBN 13: 9783659106231
Librería: moluna, Greven, Alemania
EUR 56,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nagati KhaledKhaled Nagati is an Associate Professor of Computer Science in the Faculty of Informatics and Computer Science at the British University in Egypt. He received his Ph.D. from Cairo University. Dr. Nagati is the author of .
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659106232 ISBN 13: 9783659106231
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 68,82
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A fingerprint is the feature pattern of one finger. It is believed with strong evidence that each fingerprint is unique. Each person has his own fingerprints with the permanent uniqueness. So fingerprints have being used for identification and forensic investigation for a long time. This book explores new approaches for designing the various stages of fingerprint classification and identification system. Readers will see how to use models for: - Fingerprint ridges restoration. - Extraction of structural and statistical features of a fingerprint. - Supervised fingerprints classification based on an artificial neural network (ANN)that combines the structural and statistical features of a fingerprint. - Detection of the core point of a fingerprint using an ANN model. - Fingerprints score matching based on the comparison of the relational curves which join the detected minutiae of each fingerprint. Curve matching uses string matching and T-test to generate a list of fingerprint candidates. All topics in this book are organized to be easy to understand. The practical emphasis is reinforced with many illustrative examples for each stage of the fingerprint identification system.