Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/10353
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dc.contributor.authorZiyad Tariq Al-Ta'i-
dc.contributor.authorOmar y. abdelhammed-
dc.date.accessioned2023-11-29T07:50:47Z-
dc.date.available2023-11-29T07:50:47Z-
dc.date.issued2012-
dc.identifier.issn2222-8373-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/10353-
dc.description.abstractIn this paper, an off-line signature identification system is presented depending on moment algorithm. The proposed system consists of three steps. First step is enrolment module with the following operations: Transformation from colored image to gray level image, thresholding , thinning. Second step performs features extraction of the original signature by using Moment algorithm . The last step implements signature identification by using matching ratio.en_US
dc.description.sponsorshiphttps://djps.uodiyala.edu.iq/en_US
dc.language.isoenen_US
dc.publisheruniversity of Diyalaen_US
dc.subjectSignature identification, Off-line signature , Moment, Transformationen_US
dc.titleOff-Line Signature Identification Using Moment Algorithmen_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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