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» Biometric Recognition: When Is Evidence Fusion Advantageous
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AVBPA
2005
Springer
326views Biometrics» more  AVBPA 2005»
13 years 9 months ago
Rank-Based Decision Fusion for 3D Shape-Based Face Recognition
In 3D face recognition systems, 3D facial shape information plays an important role. Various shape representations have been proposed in the literature. The most popular techniques...
Berk Gökberk, Albert Ali Salah, Lale Akarun
ICPR
2006
IEEE
14 years 8 months ago
Quality-based Score Level Fusion in Multibiometric Systems
The quality of biometric samples has a significant impact on the accuracy of a matcher. Poor quality biometric samples often lead to incorrect matching results because the feature...
Anil K. Jain, Karthik Nandakumar, Sarat C. Dass, Y...
MCS
2007
Springer
14 years 1 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
BMVC
2001
13 years 10 months ago
New Area Based Metrics for Automatic Gait Recognition
Gait is a new biometric aimed to recognise a subject by the manner in which they walk. Gait has several advantages over other biometrics, most notably that it is non-invasive and ...
Jeff P. Foster, Mark S. Nixon, Adam Prügel-Be...
ICPR
2008
IEEE
14 years 2 months ago
Clip retrieval using multi-modal biometrics in meeting archives
We present a system to retrieve all clips from a meeting archive that show a particular individual speaking, using a single face or voice sample as the query. The system incorpora...
Himanshu Vajaria, Sudeep Sarkar, Rangachar Kasturi