Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 1999 | Published
Book Section - Chapter Open

Visual signature verification using affine arc-length

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.

Additional Information

© 1999 IEEE.

Attached Files

Published - MUNcvpr99.pdf

Files

MUNcvpr99.pdf
Files (807.1 kB)
Name Size Download all
md5:bb41e9f1513b77e4f3e202f6b78de27f
807.1 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 24, 2023