Signature Recognition and Verification Using Cascading of Tchebichef Moment and Contour Curvature Features in Matlab

Signature verification is most commonly used as an authorization tool from the beginning till now. Many people uses bank cheques for most of their transactions. Although banks are computerized, but still verification process of signature in cheques is done manually which consumes time and even misleads sometimes. Signatures verification process can be done online or off-line depending upon the application. In this paper, model is proposed for the signature verification and testing using the Offline Signature Verification System. The acquired signature from the bank cheque is preprocessed for the purpose of feature extraction. Here tchebichef moment feature and contour curvature features of the signature are extracted and cascaded for increasing accuracy. The extracted features are used to train a multilayer Feed Forward Neural Network. The signature features, to be tested, are fed to the trained neural network to find whether the signature is genuine or a forged one.