An Enhanced Dynamic Signature Verification using the X and Y Histogram Features

Dynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent points. We propose additional new features from th...

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Main Authors: Aris Tjahyanto, Ano Rangga Rahardika, Ary Mazharuddin Shiddiqi
Format: Article
Language:English
Published: P3M, Politeknik Negeri Cilacap 2021-08-01
Series:Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap
Subjects:
Online Access:https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/668
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author Aris Tjahyanto
Ano Rangga Rahardika
Ary Mazharuddin Shiddiqi
author_facet Aris Tjahyanto
Ano Rangga Rahardika
Ary Mazharuddin Shiddiqi
author_sort Aris Tjahyanto
collection DOAJ
description Dynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent points. We propose additional new features from the X and Y histograms to overcome the limitation.  Our experiments indicate that our technique produced Under Curve Area AUC values 0.80 to detect skilled forgery and 0.91 for random forgery. Our method performed best when the verification system uses 12 of the most dominant features.  This setup produced AUC values of 0.80 to detect skilled forgery and 0.93 for random forgery. These results outperformed the original technique when the X and Y histogram features are not used that produced AUC values of 0.78 to detect skilled forgery and 0.90 for random forgery.
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spelling doaj.art-aa31799553764fe9aa289925c79059392022-12-21T18:34:02ZengP3M, Politeknik Negeri CilacapInfotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap2087-16272685-98582021-08-0112215515910.35970/infotekmesin.v12i2.668246An Enhanced Dynamic Signature Verification using the X and Y Histogram FeaturesAris Tjahyanto0Ano Rangga Rahardika1Ary Mazharuddin Shiddiqi2Institut Teknologi Sepuluh NopemberInstitut Teknologi Sepuluh NopemberInstitut Teknologi Sepuluh NopemberDynamic signature verification by using histogram features is a well-known signature forgery detection technique due to its high performance. However, this technique is often limited to angular histograms derived from vectors containing two adjacent points. We propose additional new features from the X and Y histograms to overcome the limitation.  Our experiments indicate that our technique produced Under Curve Area AUC values 0.80 to detect skilled forgery and 0.91 for random forgery. Our method performed best when the verification system uses 12 of the most dominant features.  This setup produced AUC values of 0.80 to detect skilled forgery and 0.93 for random forgery. These results outperformed the original technique when the X and Y histogram features are not used that produced AUC values of 0.78 to detect skilled forgery and 0.90 for random forgery.https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/668dynamic signaturehistogram xhistogram ymobile deviceauc.
spellingShingle Aris Tjahyanto
Ano Rangga Rahardika
Ary Mazharuddin Shiddiqi
An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap
dynamic signature
histogram x
histogram y
mobile device
auc.
title An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
title_full An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
title_fullStr An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
title_full_unstemmed An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
title_short An Enhanced Dynamic Signature Verification using the X and Y Histogram Features
title_sort enhanced dynamic signature verification using the x and y histogram features
topic dynamic signature
histogram x
histogram y
mobile device
auc.
url https://ejournal.pnc.ac.id/index.php/infotekmesin/article/view/668
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