1/5/2024 0 Comments Spelltower scores off lineThe abstract should summarize the contents of the paper in short. Keywords Biometrics, error back propagation algorithm, center of mass, neural network, and normalized area of signature. A verification stage includes applying the extracted features of test signature to a trained neural network which will classify it as a genuine or forged. The method presented in this paper consists of image prepossessing, geometric feature extraction, neural network training with extracted features and verification. A signature by an authorized person is considered to be the "seal of approval" and remains the most preferred means of authentication. As signatures continue to play an important role in financial, commercial and legal transactions, truly secured authentication becomes more and more crucial. Voice recognition or signature verification are the most widely known among the non-vision based ones. ![]() Among the vision-based ones are face recognition, fingerprint recognition, iris scanning and retina scanning. In order to convey the state-of-the-art in the field to researchers, in this paper we present a survey of off-line signature verification systems.Ī number of biometric techniques have been proposed for personal identification in the past. So nowadays, automatic signature verification becomes an essential component. Human signatures also provide secure means for confirmation and authorization in legal documents. Consequently for many years, in the field of protected communication and financial applications, we have observed an explosive growth in biometric personal authentication systems that are closely connected with measurable physical unique characteristics (hand geometry, iris scan, finger prints or DNA). Manual signature-based authentication of a large number of documents is a very difficult and time consuming task. ![]() So, offline signatures are extensively used as a means of personal verification and identification. Off-line signature verification is considered as a behavioral characteristic based biometric trait in the field of security and the prevention of fraud. ![]() The use of biometric technologies for human identity verification is growing rapidly in civilized society and showing its advancement towards the usability of biometrics for security.
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