Title
Biometrics: different approaches for using gaussian mixture models in handwriting
Abstract
In this work in progress paper we discuss an established as well as a new approache to the use of Gaussian Mixture Models (GMMs) for handwriting biometrics. The technique of GMMs is well explored for the domain of speech processing and we evaluate ways to use them for handwriting biometrics, too.
Year
DOI
Venue
2005
10.1007/11552055_26
Communications and Multimedia Security
Keywords
Field
DocType
progress paper,gaussian mixture models,gaussian mixture model,handwriting biometrics,different approach,new approache,speech processing,work in progress
Signal processing,Speech processing,Handwriting,Pattern recognition,Computer science,Speech recognition,Feature extraction,Gaussian process,Artificial intelligence,Biometrics,Mixture theory,Mixture model
Conference
Volume
ISSN
ISBN
3677
0302-9743
3-540-28791-4
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Sascha Schimke1474.47
Athanasios Valsamakis200.34
Claus Vielhauer346168.50
Yannis Stylianou41436140.45