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Publically available database BHsig260 is used. In this paper, combinations of four features, i.e., Average object area, mean, Euler number and area of signature image is used to verify the signature. Although the photocopies are the filtered images of original information and do not reproduce details as in the original documents. Photocopies and scanned documents are considered as the best possible evidence in the situations when the original documents are either lost or damaged. In this paper, an attempt has been made to analysis the performance of off-line handwritten signature verification using image-based features. To reduce fraud in financial transactions, signature verification is important for security purposes. Advances in Intelligent Systems and Computing