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Fuzzy Logic Based Off-line Signature Verification and Forgery Detection System

Fuzzy Logic Based Off-line Signature Verification and Forgery Detection System,S. Maheswaran,IIT Kharagpur

Fuzzy Logic Based Off-line Signature Verification and Forgery Detection System  
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Automatic Signature Verification and Forgery Detection has numerous applications in various fields like Bank-Cheque processing, ATM access, Document Authentications etc. Handwritten Signatures have proved pivotal in Authentication of the identity of the person signing the document. This being very important area the problem of signature verification and forgery detection becomes crucial. Handwritten signatures differ largely in their shapes and sizes and the variations are so much that it is difficult to find out a forged signature just by having a glance at the signature. Hence when it is impossible to authenticate a signature we need alternative techniques like the use of computers. In this project we have implemented an offline Signature Verification and Forgery Detection System based on Fuzzy Logic. Handwritten signatures are scanned and they undergo a series of Image preprocessing techniques so as to facilitate feature extraction. Initially, the signatures are binarized, in which the image is converted into Black and White. After that, noise is removed from the picture to get a clear image. This is followed by Thinning in which the basic pattern of the signature is extracted. This is used to take care of the thickness variations.
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