A method for conducting off-line handwritten signature verification is described. It works at the global image level and measures the grey level variations ...
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This paper proposes amodified pattern matching method, which is independent of stroke widths, and an appropriate selection method of a registered signature.
In this paper, we propose an off-line handwritten signature verification method based on an explainable deep learning method (deep convolutional neural network, ...
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The objective of signature verification systems is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced ...
Mar 18, 2021 · In this paper, a novel feature set is introduced based on quasi-straightness of boundary pixel runs for signature verification.
Biometric verification is a method of identifying the persons by their individualities ... Local features consist of signature centroid, slope, angle, and ...
Nakajima, “An active search of local individualities for an offline signature verification,” Trans. IEICE, vol. J84-D-II, no. 7, pp. 1339–1350, 2001. [10] ...
This paper proposes a novel approach to the problem of automatic off-line signature verification and forgery detection.
Mar 19, 2021 · We are going to construct a robust offline signature authentication model: (1) a signature extraction framework based on the fuzzy set is proposed.
Mar 7, 2024 · In this paper, we have developed a Chinese handwritten signature dataset (CNSig) and proposed an offline signature verification network (att- ...
Missing: Individualities | Show results with:Individualities