Advances in
Biometric Person Authentication
The 5th Chinese Conference on
Biometric Recognition
Guangzhou, China, December, 2004, Proceedings
Series :
Lecture Notes in Computer Science,
Vol. 3338
Stan Z. Li, Jianhuang Lai, Tieniu Tan, Guocan Feng, Yunhong Wang
(Eds.)
Publisher:
Springer
Following the
previous four annual conferences, the 5th Chinese Conference on Biometrics
Recognition (Sinobiometrics 2004) was held in GuangZhou, China in December 2004.
The conference this year was aimed at promoting international exchange of ideas
and providing an opportunity for keeping abreast of the latest developments in
biometric algorithms, systems, and applications. The First Biometrics
Verification Competition (BVC) on face, iris, and fingerprint recognition was
also conducted in conjunction with the conference. l
This book is composed of 74 papers presented at the Sinobiometrics’04,
contributed by researchers and industrial practitioners from Korea, Japan,
Singapore, Hong Kong, France, UK, US, as well as China. Of these, 60 papers were
selected from 140 submissions and 14 were invited. The papers not only presented
recent technical advances, but also addressed issues in biometric system design,
standardization, and applications.
Included among the invited were four feature papers on the ideas and algorithms
of best performing biometric engines, which were either competition winners at
Face Authentication Test (FAT) 2004 and Fingerprint Verification Competition (FVC)
2004, or best performing iris and palmprint recognition algorithms.
The papers were complemented by five keynote lectures on biometrics, face,
fingerprint, iris authentication and multi-modal fusion by Arun Ross (West
Virginia University) and Anil K. Jain (Michigan State University), Josef Kittler
(University of Surrey), John Daugman (University of Cambridge), Raffaele
Cappelli (University of Bologna), and Stan Z. Li (Chinese Academy of Sciences).
Written for:
Researchers and professionals
Keywords:
biometric algorithms
biometric authentication
biometric systems
biometric technology
face recognition
fingerprint recognition
iris recognition
speech recognition
hand recognition
handwriting recognition
signature verification
gait recognition