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Visual signature verification using affine arc-length

Munich, Mario E. and Perona, Pietro (1999) Visual signature verification using affine arc-length. In: 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol.2. IEEE Computer Society , Los Alamitos, CA, pp. 180-186. ISBN 0-7695-0149-4.

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Signatures can be acquired with a camera-based system with enough resolution to perform verification. This paper presents the performance of a visual-acquisition signature verification system, emphasizing on the importance of the parameterisation of the signature in order to achieve good classification results. A technique to overcome the lack of examples in order to estimate the generalization error of the algorithm is also described.

Item Type:Book Section
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URLURL TypeDescription DOIArticle
Munich, Mario E.0000-0002-6665-7473
Perona, Pietro0000-0002-7583-5809
Additional Information:© 1999 IEEE.
Record Number:CaltechAUTHORS:20111220-091949503
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Official Citation:Munich, M.E.; Perona, P.; , "Visual signature verification using affine arc-length," Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on. , vol.2, no., pp.2 vol. (xxiii+637+663), 1999 doi: 10.1109/CVPR.1999.784627 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28528
Deposited By: Tony Diaz
Deposited On:20 Dec 2011 18:55
Last Modified:09 Nov 2021 16:58

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