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 | ||||
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| Additional Information: | © 1999 IEEE. Date of Current Version: 06 August 2002. | ||||
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| Record Number: | CaltechAUTHORS:20111220-091949503 | ||||
| Persistent URL: | http://resolver.caltech.edu/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: 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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