Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/5384
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dc.contributor.authorAbdel Rhman, Saad Mamoun
dc.contributor.authorSupervisor - Izze Eldin Mohamed Osman Co Supervisor - Saifeldain Fatoh
dc.date.accessioned2014-06-02T12:09:09Z
dc.date.available2014-06-02T12:09:09Z
dc.date.issued2011-02
dc.identifier.citationAbdel Rhman,Saad Mamoun.A Simple Off - Line Signature Verification Method Using Geometrical Features/ Saad Mamoun Abdel Rhman ؛ Izze Eldin Mohamed .-Khartoum : sudan university of science and technology, computer science,2011.-166p:ill;28cm;M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/5384
dc.descriptionThesisen_US
dc.description.abstractThis study presents an off-line signature verification system. The verification is based on geometrical and grid features through conducting two tests. The first one uses geometrical features using four border points in the direction of right and left, up and down in addition to two lengths. The first connects the highest point with the lowest, and the second connects the left point with the right. The second test uses grid features taken from the core of a signature image. The samples (population for this study) is drawn from 360 personal signature collected from 60 Arabic native speakers. The data that had obtained (along with one signature specimen) is cached in Oracle Database. Practical experiments showed that the accuracy of the algorithm under False Rejection Rate (FRR) scale is less than 0.16 for the combined methods is geometrical and grid features.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectGeometrical Featuresen_US
dc.subjectLine Signature Verification Methoden_US
dc.subjectoff-line signature verification systemen_US
dc.subjectFRRen_US
dc.titleA Simple Off - Line Signature Verification Method Using Geometrical Featuresen_US
dc.typeThesisen_US
Appears in Collections:PhD theses : Computer Science and Information Technology

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