NDLI: Authentication Model of Dynamic Signatures using Global and Local Features

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Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing

Authentication Model of Dynamic Signatures using Global and Local Features

Content Provider	IEEE Xplore Digital Library
Author	Tanaka, M. Bargiela, A.
Copyright Year	2005
Description	Author affiliation: Konan Univ., Kobe (Tanaka, M.)
Abstract	We consider a stochastic model for signature verification using dynamic signatures. For verification of dynamic signature data, we will use both global features and local features. Global features are such as the signature drawing time, average pen speed, the signature size, and so on. Local features are the signature shape and pen pressures evaluated locally. The stochastic model is given from the principal components of the feature vector, and two measures are defined to evaluate the distance from the center of the distribution. In the experimental study, we got a good result for authentication
Starting Page	1
Ending Page	4
File Size	3818792
Page Count	4
File Format	PDF
ISBN	0780392884
DOI	10.1109/MMSP.2005.248563
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Authentication Stochastic processes Handwriting recognition Shape Feature extraction Standards development Voting Dynamic programming Genetic algorithms Covariance matrix
Content Type	Text
Resource Type	Article

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