On-line Handwriting Signature Verification Based on Using Extreme Points Extraction

On-line Handwriting Signature Verification Based on Using Extreme Points Extraction

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This paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the analyzing process of the trajectory. In the proposed method the curve’s form is d...

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Bibliographic Details
Main Author: R. S. A. Zneit
Format: Article
Language:English
Published: D. G. Pylarinos 2016-08-01
Series:Engineering, Technology & Applied Science Research
Subjects:
On-line signature verification
HSV
trajectory
extreme points
hand writing
curvature
Online Access:https://etasr.com/index.php/ETASR/article/view/694
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spelling doaj-b109d01a15614177b31a98a78e33ae112020-12-02T18:06:43ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362016-08-0164On-line Handwriting Signature Verification Based on Using Extreme Points ExtractionR. S. A. Zneit0Computer Engineering Dpt, Faculty of Engineering Technology (FET), Al Balqa' Applied University (BAU), Amman, JordanThis paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the analyzing process of the trajectory. In the proposed method the curve’s form is described by a small set of extreme points and the method thus seems more precise. Furthermore, it provides an effective preprocessing of the curve and can be utilized in one-to-many pattern matching in a restricted access systems. https://etasr.com/index.php/ETASR/article/view/694On-line signature verificationHSVtrajectoryextreme pointshand writingcurvature
collection DOAJ
language English
format Article
sources DOAJ
author R. S. A. Zneit
spellingShingle R. S. A. Zneit
On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
Engineering, Technology & Applied Science Research
On-line signature verification
HSV
trajectory
extreme points
hand writing
curvature
author_facet R. S. A. Zneit
author_sort R. S. A. Zneit
title On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
title_short On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
title_full On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
title_fullStr On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
title_full_unstemmed On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
title_sort on-line handwriting signature verification based on using extreme points extraction
publisher D. G. Pylarinos
series Engineering, Technology & Applied Science Research
issn 2241-4487
1792-8036
publishDate 2016-08-01
description This paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the analyzing process of the trajectory. In the proposed method the curve’s form is described by a small set of extreme points and the method thus seems more precise. Furthermore, it provides an effective preprocessing of the curve and can be utilized in one-to-many pattern matching in a restricted access systems.
topic On-line signature verification
HSV
trajectory
extreme points
hand writing
curvature
url https://etasr.com/index.php/ETASR/article/view/694
work_keys_str_mv AT rsazneit onlinehandwritingsignatureverificationbasedonusingextremepointsextraction
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