Biometric Recognition [[electronic resource] ] : 13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings / / edited by Jie Zhou, Yunhong Wang, Zhenan Sun, Zhenhong Jia, Jianjiang Feng, Shiguang Shan, Kurban Ubul, Zhenhua Guo

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XVII, 748 p. 364 illus.)
• Disciplina: 006
• Soggetto topico: Biometrics (Biology); Optical data processing; Artificial intelligence; Computer security; Computer communication systems; Data structures (Computer science); Biometrics; Image Processing and Computer Vision; Artificial Intelligence; Systems and Data Security; Computer Communication Networks; Data Structures and Information Theory
• Persona (resp. second.): ZhouJie; WangYunhong; SunZhenan; JiaZhenhong; FengJianjiang; ShanShiguang; UbulKurban; GuoZhenhua
• Nota di contenuto: Hand-based Biometrics -- Gesture -- Gait -- Action -- Feature Extraction and Classication Theory -- Face -- Eye-based Biometrics -- Emerging Biometrics -- Behavioral Biometrics.
• Sommario/riassunto: The LNCS volume 10996 constitutes the proceedings of the 13th Chinese Conference on Biometric Recognition, held in Urumchi, China, in August 2018. The 79 regular papers presented in this book were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics such as Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authentication, Graphical and visual passwords.
• Titolo autorizzato: Biometric Recognition
• ISBN: 3-319-97909-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910349416703321
• Lo trovi qui: Univ. Federico II
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10996