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Camera-based ID Verification by Signature Tracking

Munich, Mario E. and Perona, Pietro (1998) Camera-based ID Verification by Signature Tracking. In: Computer Vision — ECCV'98. Lecture Notes in Computer Science. Vol.1. No.1406. Springer , Berlin, pp. 782-796. ISBN 978-3-540-64569-6. http://resolver.caltech.edu/CaltechAUTHORS:20161012-130817828

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Abstract

A number of vision-based biometric techniques have been proposed in the past for personal identification. We present a novel one based on visual capturing of signatures. This paper describes a system based on correlation and recursive prediction methods that can track the tip of the pen in real time, with sufficient spatio-temporal resolution and accuracy to enable signature verification. Several examples and the performance of the system are shown.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1007/BFb0055704DOIChapter
http://link.springer.com/chapter/10.1007%2FBFb0055704PublisherChapter
http://www.vision.caltech.edu/mariomu/research/sigverif/Related ItemAuthor Site
ORCID:
AuthorORCID
Munich, Mario E.0000-0002-6665-7473
Perona, Pietro0000-0002-7583-5809
Additional Information:© 1998 Springer-Verlag.
Record Number:CaltechAUTHORS:20161012-130817828
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20161012-130817828
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:71020
Collection:CaltechAUTHORS
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Deposited On:14 Oct 2016 22:24
Last Modified:27 Mar 2019 19:42

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