Cross Disciplinary Biometric Systems

• Κύριοι συγγραφείς: Liu, Chengjun (Συγγραφέας), Mago, Vijay Kumar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Intelligent Systems Reference Library, 37
• Θέματα: Engineering.; Artificial intelligence.; Pattern recognition.; Biometrics (Biology).; Computational intelligence.; Computational Intelligence.; Biometrics.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).

Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging...