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Reseach Article

Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition

by Dipti Verma, Sipi Dubey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 10
Year of Publication: 2012
Authors: Dipti Verma, Sipi Dubey
10.5120/8599-2363

Dipti Verma, Sipi Dubey . Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition. International Journal of Computer Applications. 54, 10 ( September 2012), 1-6. DOI=10.5120/8599-2363

@article{ 10.5120/8599-2363,
author = { Dipti Verma, Sipi Dubey },
title = { Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 10 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number10/8599-2363/ },
doi = { 10.5120/8599-2363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:18.013397+05:30
%A Dipti Verma
%A Sipi Dubey
%T Two Level Centre of Gravity Computation –An Important Parameter for Offline Signature Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 10
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposed feature extraction method based on centre of gravity for offline signature. Similar to other biometric measures, signatures have inherent variability and so pose a difficult recognition problem. Signature probably is one of the oldest biometric recognition methods, with high legal acceptance Signature has been a distinguishing feature for person identification through ages. Even today an increasing number of transactions, especially financial, are being authorized via signatures. In this paper, signature is preprocessed through binarization, cutting edges and thinning which provides more accurate platform for feature extraction methods. We have computed centre of gravity in two level by considering centre of gravity of all the characters separately instead of taking one common centre of gravity for entire signature and finally we would be able to built a system for signature recognition by taking mean values of all the centre of gravity values of various characters present in the signature.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Static dynamic signature recognition pre-processing edge detection centre of gravity