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Off-Line Signature Recognition Systems

by V A Bharadi, H B Kekre
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 27
Year of Publication: 2010
Authors: V A Bharadi, H B Kekre
10.5120/499-815

V A Bharadi, H B Kekre . Off-Line Signature Recognition Systems. International Journal of Computer Applications. 1, 27 ( February 2010), 48-56. DOI=10.5120/499-815

@article{ 10.5120/499-815,
author = { V A Bharadi, H B Kekre },
title = { Off-Line Signature Recognition Systems },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 27 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 48-56 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number27/499-815/ },
doi = { 10.5120/499-815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:41:53.556092+05:30
%A V A Bharadi
%A H B Kekre
%T Off-Line Signature Recognition Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 27
%P 48-56
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten signature is one of the most widely used biometric traits for authentication of person as well as document. In this paper we discuss issues regarding off-line signature recognitions. We review existing techniques, their performance and method for feature extraction. We discuss a system designed using cluster based global features which is a multi algorithmic offline signature recognition system.

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Index Terms

Computer Science
Information Sciences

Keywords

Signature Recognition Verification Biometrics

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