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Face,
Iris and Fingerprint Based Biometric MRTD System
Biometric Information Processing Group is one of the four
research groups in the National Laboratory of Pattern
Recognition, and is also one of the nine innovation research
teams of CASIA. It is also called The Center for Biometrics and
Security Research (CBSSR).
CBSR aims to conduct research on
cutting-edge biometrics and intelligent surveillance
technologies and applications, and to develop biometric
standards, databases and protocols for biometric product
testing. CBSR currently maintains about 70 researchers,
engineers and master and PhD students, collaboration
evangelists, and administrators, and is one of the world largest
teams for biometrics.
CBSR research directions are summarized in the following. (1)
Applied Basic Research in Image
Pattern Recognition:
fundamental issues in
statistical learning, biometric
recognition and intelligent video analysis.
(2)
Biometric Recognition:
individual
identification
by analyzing their physiological and behavioral characteristics,
including face, iris, fingerprint, palmprint, etc. (3)
Intelligent video processing and understanding:
automatic video analysis and understanding to reduce human
intervention in surveillance.
(4) Network Content
Understanding and Information Security:
to understand the contents in semantic level, and analyze the
behaviors and information preferences of network users, so as to
improve the efficiency and service quality of Internet.
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Vsiual Surveillance
Platform For CASIA building
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 Center
for Biometrics and Security Research (CBSR) |