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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. IEEE Computer Society , Los Alamitos, CA, pp. 180-186. ISBN 0-7695-0149-4 http://resolver.caltech.edu/CaltechAUTHORS:20111220-091949503

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Abstract

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
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/CVPR.1999.784627 DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=784627PublisherUNSPECIFIED
Additional Information:© 1999 IEEE. Date of Current Version: 06 August 2002.
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Other Numbering System NameOther Numbering System ID
INSPEC Accession Number6346906
Record Number:CaltechAUTHORS:20111220-091949503
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20111220-091949503
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: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=784627&isnumber=17024
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28528
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Dec 2011 18:55
Last Modified:20 Dec 2011 18:55

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