Offline handwritten signature verification using Alpha Cut of Triangular Fuzzy Number (TFN)
نویسندگان
چکیده
منابع مشابه
Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition
Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...
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Signatures were considered an important tool for authenticating the identity of human beings. So, signature verification was one of the biggest uses for that. We proposed an algorithmic approach for the verification of handwritten signatures by applying some statistical methods. The research work was based on the collection of set of signatures from which an average signature was obtained based...
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The area of Handwritten Signature Verification has been broadly researched in the last decades and still remains as an open research problem. This report focuses on offline signature verification, characterized by the usage of static (scanned) images of signatures, where the objective is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced...
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Handwritten signatures are very important in our social and legal life for verification and authentication. A signature can be a "seal of approval" only if it is done by an authorized person which is a full proof way of authentication. Even two signatures of same person can have some kind of differences that is they cannot have perfect resemblances. Their positions may vary with respect to star...
متن کاملOffline Handwritten Signature Recognition
Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents a neural network based recognition of offline handwritten signatures system t...
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ژورنال
عنوان ژورنال: Malaysian Journal of Fundamental and Applied Sciences
سال: 2014
ISSN: 2289-599X,2289-5981
DOI: 10.11113/mjfas.v6n2.199