Offline Handwritten Signature Identification and Verification Using Contourlet Transform

• Published in: 2009 International Conference of Soft Computing and Pattern Recognition pp. 670 - 673
• Main Authors: Pourshahabi, M.R., Sigari, M.H., Pourreza, H.R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2009
• Subjects: Computer applications; Computer industry; Constraint optimization; Containers; Contourlet transform; Design optimization; Euclidean distance; identification; Integer linear programming; Laboratories; Offline signature; Pattern recognition; Printing; Testing; verification
• ISBN: 1424453305; 9781424453306
• DOI: 10.1109/SoCPaR.2009.132

In this paper, a new offline handwritten signature identification and verification system based on contourlet transform is proposed. Contourlet transform (CT) is used as feature extractor in proposed system. Signature image is enhanced by removing noise and then it is normalized by size. After preprocessing stage, by applying a special type of contourlet transform on signature image, related contourlet coefficients are computed and feature vector is created. Euclidean distance is used as classifier. One of the most important features of proposed system is its independency from signer's nationality. Experimental results show that proposed system has so reliable results for both Persian and English signatures.