Offline Handwritten Signature Verification using Distance based Classifier
نویسندگان
چکیده
منابع مشابه
Offline Signature Verification using Euclidian Distance
Signature authentication is the most widely used method of verifying a person’s identity. The texture and topological features are the static features of a signature image. Baseline slant angle, aspect ratio, normalized area, center of gravity of the whole signature image and the slope of the line joining the center of gravities of two halves of a signature image are used as the texture and top...
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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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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...
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ژورنال
عنوان ژورنال: International Journal of Advanced Scientific Research and Management
سال: 2019
ISSN: 2455-6378
DOI: 10.36282/ijasrm/4.8.2019.1615