Offline Handwritten Signature Identification and Verification Using Contourlet Transform

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 prepr...

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Bibliographic Details
Published in2009 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
LanguageEnglish
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
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ISBN1424453305
9781424453306
DOI10.1109/SoCPaR.2009.132

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Summary: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.
ISBN:1424453305
9781424453306
DOI:10.1109/SoCPaR.2009.132