Off line signature recognition based on wavelet, curvelet and contourlet transforms

Authors:
M. Fakhlai;H. Pourreza
Affiliations:
Department of Artificial Intelligence, Department of Computer Engineering, Islamic Azad University, Ferdowsi University of Mashhad, Mashhad, Iran;Department of Artificial Intelligence, Department of Computer Engineering, Islamic Azad University, Ferdowsi University of Mashhad, Mashhad, Iran
Venue:
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Year:
2008

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Abstract

In this paper we proposed new offline signature recognition based on the three different kinds of feature extractors, wavelet, curvelet and contourlet transform. The curvature and orientation of a signature image was used as feature. We utilized Support vector machine (SVM) as a tool to evaluate the performance of the proposed methods. The comparison of the three transforms for identifying the kind of signatures showed that contourlet transform can extract better features among the proposed.