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. https://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 | |||||||||
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| Additional Information: | © 1998 Springer-Verlag. | |||||||||
| Series Name: | Lecture Notes in Computer Science | |||||||||
| Issue or Number: | 1406 | |||||||||
| DOI: | 10.1007/BFb0055704 | |||||||||
| Record Number: | CaltechAUTHORS:20161012-130817828 | |||||||||
| Persistent URL: | https://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 | |||||||||
| Deposited By: | SWORD User | |||||||||
| Deposited On: | 14 Oct 2016 22:24 | |||||||||
| Last Modified: | 11 Nov 2021 04:38 |
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