Centre for Pattern Recognition and Machine Intelligence (CENPARMI)
Abstract
Proceedings of the International Conference on Frontiers in Hadwriting Recognition (ICFHR 2008)An off-line signature verification system based on contour
features is presented. It works at the local image
level, and encodes directional properties of signature contours
and the length of regions enclosed inside letters.
Results obtained on a sub-corpus of the MCYT signature
database shows that directional-based features work
much better than length-based features. Results are comparable
to existing approaches based on different features.
It is also observed that combination of the proposed
features does not provide improvements in performance,
maybe to some existing correlation among them.This work has been supported by Spanish project TEC2006-13141-C03-03, and by European Commission IST-2002-507634 Biosecure NoE