Journal ArticleDOI
Writer-independent off-line signature verification using surroundedness feature
TLDR
The proposed feature set describes the shape of a signature in terms of spatial distribution of black pixels around a candidate pixel (on the signature) and provides a measure of texture through the correlation among signature pixels in the neighborhood of that candidate pixel.About:
This article is published in Pattern Recognition Letters.The article was published on 2012-02-01. It has received 189 citations till now. The article focuses on the topics: Signature recognition & Feature (computer vision).read more
Citations
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Journal ArticleDOI
Learning features for offline handwritten signature verification using deep convolutional neural networks
TL;DR: A novel formulation of the problem that includes knowledge of skilled forgeries from a subset of users in the feature learning process, that aims to capture visual cues that distinguish genuine signatures and forgeries regardless of the user is proposed.
Journal ArticleDOI
The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters
TL;DR: This paper proposes the use of One-Class Support Vector Machine (OC-SVM) based on writer-independent parameters, which takes into consideration only genuine signatures and when forgery signatures are lack as counterexamples for designing the HSVS.
Journal ArticleDOI
A Perspective Analysis of Handwritten Signature Technology
Moises Diaz,Miguel Ferrer,Donato Impedovo,Muhammad Imran Malik,Giuseppe Pirlo,Réjean Plamondon +5 more
TL;DR: A systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario is reported, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject.
Modern mathematical methods for physicists and engineers
TL;DR: Fahidy as mentioned in this paper presents a 763 page book for advanced mathematics with a focus on set theory, groups, rings and fields, vector spaces, matrix theory, linear functionals and special functions.
Posted Content
SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
TL;DR: This paper models an offline writer independent signature verification task with a convolutional Siamese network, named SigNet, and exceeds the state-of-the-art results on most of the benchmark signature datasets, which paves the way for further research in this direction.
References
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An introduction to ROC analysis
TL;DR: The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.
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An introduction to variable and feature selection
Isabelle Guyon,André Elisseeff +1 more
TL;DR: The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.
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Shape matching and object recognition using shape contexts
TL;DR: This paper presents work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation, and proposes shape detection using a feature called shape context, which is descriptive of the shape of the object.
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Online and off-line handwriting recognition: a comprehensive survey
TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.