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» Feature Level Clustering of Large Biometric Database
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ENGL
2007
92views more  ENGL 2007»
13 years 7 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru
ICB
2007
Springer
79views Biometrics» more  ICB 2007»
14 years 1 months ago
On Some Performance Indices for Biometric Identification System
This paper investigates a new approach to formulate performance indices of biometric system using information theoretic models. The performance indices proposed here (unlike conven...
Jay Bhatnagar, Ajay Kumar
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...
FGR
2002
IEEE
140views Biometrics» more  FGR 2002»
14 years 9 days ago
Hierarchical Wavelet Networks for Facial Feature Localization
We present a technique for facial feature localization using a two-level hierarchical wavelet network. The first level wavelet network is used for face matching, and yields an af...
Rogério Schmidt Feris, Jim Gemmell, Kentaro...
ICDE
2006
IEEE
194views Database» more  ICDE 2006»
14 years 8 months ago
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors
In applications of biometric databases the typical task is to identify individuals according to features which are not exactly known. Reasons for this inexactness are varying meas...
Alexey Pryakhin, Christian Böhm, Matthias Sch...