Now a day’s Signature verification is one of the most widely used biometrics for authentication in bank transactions, passports etc. The fact that the signature is widely used as a means of personal verification emphasizes the need for an automatic verification system. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. In this paper we present a method for Offline Verification of signatures using a grid base feature extraction. Before extracting the features, preprocessing of a scanned image is necessary to isolate the signature part and to remove any spurious noise present. The system is initially trained using a database of signatures obtained from those individuals whose signatures have to be authenticated by the system. For each subject a mean signature is obtained integrating the above features derived from a set of his/her genuine sample signatures. This mean signature acts as the template for verification against a claimed test signature. The paper discusses the different stages of the process including: data acquisition, image preprocessing, feature extraction and verification.
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