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Signature verification: using mahalanobis distance based fuzzy inference system

Signature verification system is a system that could verify a user's signature whether is genuine or forged. A pressure sensitive pad-WACOM BAMBOO Fun Tablet is used to collect signature samples. From each signature x-coordinates, y-coordinates and pressure are obtained and eight features are e...

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Main Author: Goh Shu Hui
Format: text::Thesis
Language:English
Published: 2023
Subjects:
Fuzzy logic
Artificial intelligence
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spelling my.uniten.dspace-209842023-05-04T21:43:20Z Signature verification: using mahalanobis distance based fuzzy inference system Goh Shu Hui Fuzzy logic Artificial intelligence Signature verification system is a system that could verify a user's signature whether is genuine or forged. A pressure sensitive pad-WACOM BAMBOO Fun Tablet is used to collect signature samples. From each signature x-coordinates, y-coordinates and pressure are obtained and eight features are extracted from the dynamic data. In order to choose the optional features from the eight features, mahalanobis distance is computed for the train and test signature samples. From the distance, feature weights are then computed. verification system using Fuzzy Inference System (FIS) is designed using MATLAB to verify the signatures. The result obtained from the system are 17.33% for False Acceptance Rate (FAR) and 49.33% for False Rejection Rate (FRR). 2023-05-03T15:42:25Z 2023-05-03T15:42:25Z 2013 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/20984 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Fuzzy logic
Artificial intelligence
spellingShingle Fuzzy logic
Artificial intelligence
Goh Shu Hui
Signature verification: using mahalanobis distance based fuzzy inference system
description Signature verification system is a system that could verify a user's signature whether is genuine or forged. A pressure sensitive pad-WACOM BAMBOO Fun Tablet is used to collect signature samples. From each signature x-coordinates, y-coordinates and pressure are obtained and eight features are extracted from the dynamic data. In order to choose the optional features from the eight features, mahalanobis distance is computed for the train and test signature samples. From the distance, feature weights are then computed. verification system using Fuzzy Inference System (FIS) is designed using MATLAB to verify the signatures. The result obtained from the system are 17.33% for False Acceptance Rate (FAR) and 49.33% for False Rejection Rate (FRR).
format Resource Types::text::Thesis
author Goh Shu Hui
author_facet Goh Shu Hui
author_sort Goh Shu Hui
title Signature verification: using mahalanobis distance based fuzzy inference system
title_short Signature verification: using mahalanobis distance based fuzzy inference system
title_full Signature verification: using mahalanobis distance based fuzzy inference system
title_fullStr Signature verification: using mahalanobis distance based fuzzy inference system
title_full_unstemmed Signature verification: using mahalanobis distance based fuzzy inference system
title_sort signature verification: using mahalanobis distance based fuzzy inference system
publishDate 2023
_version_ 1806426327030431744
score 13.222552

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