By Topic

Effects of Time Normalization on the Accuracy of Dynamic Time Warping

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Olaf Henniger ; Fraunhofer Institute for Secure Information Technology, Darmstadt, Germany. ; Sascha Muller

This paper revisits dynamic time warping, a method for assessing the dissimilarity of time series. In particular, this paper provides theoretical and experimental evidence showing that uncritical normalizing the length of the time series to be compared has a detrimental effect on the recognition accuracy in application domains such as on-line signature recognition, where the length of compared time series matters for their classification as match or non-match.

Published in:

Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. First IEEE International Conference on

Date of Conference:

27-29 Sept. 2007