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A Comparison of Feature Extraction Approaches for Offline Signature Verification

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Source: Proceedings of the 2nd International Conference on Multimedia Computing and systems (ICMCS’11), April 2011, Ouarzazate, Morocco
Authors: Y. Rekik, N. Houmani, M. El-Yacoubi, s. Garcia-Salicetti, B. Dorizzi
Keywords:

Abstract: this paper proposes two systems for offline
signature verification based on a global and on a local approach
respectively. The features used consist of different kinds of
geometrical, statistical and structural features. For comparison
purposes, we used two baseline systems (global and local), both
based on a larger number of features encoding the orientations
of the strokes using mathematical morphology. Experiments are
performed on two offline signature databases, namely DS2-50
and GPDS-104. The obtained results show that we may obtain
similar performances even when using a much smaller but more
discriminant set of features and that stability of the
performance across different databases can be a real challenge

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