My Account Log in

1 option

Biometric Recognition : 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22–24, 2024, Proceedings, Part I / edited by Shiqi Yu, Wei Jia, Xiangbo Shu, Xiaotong Yuan, Jie Gui, Jinhui Tang, Caifeng Shan, Qingshan Liu.

Springer Nature - Springer Computer Science (R0) eBooks 2025 English International Available online

View online
Format:
Book
Author/Creator:
Yu, Shiqi.
Contributor:
Jia, Wei.
Shu, Xiangbo.
Yuan, Xiaotong.
Gui, Jie.
Tang, Jinhui.
Shan, Caifeng.
Liu, Qingshan.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 15352
Language:
English
Subjects (All):
Biometric identification.
Artificial intelligence.
Computer vision.
Application software.
Pattern recognition systems.
Computer networks.
Biometrics.
Artificial Intelligence.
Computer Vision.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Computer Communication Networks.
Local Subjects:
Biometrics.
Artificial Intelligence.
Computer Vision.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Computer Communication Networks.
Physical Description:
1 online resource (471 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22–24, 2024. The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: - Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking. Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819610686
9819610680
OCLC:
1500771172

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account