Please use this identifier to cite or link to this item:
http://148.72.244.84/xmlui/handle/xmlui/10353Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ziyad Tariq Al-Ta'i | - |
| dc.contributor.author | Omar y. abdelhammed | - |
| dc.date.accessioned | 2023-11-29T07:50:47Z | - |
| dc.date.available | 2023-11-29T07:50:47Z | - |
| dc.date.issued | 2012 | - |
| dc.identifier.issn | 2222-8373 | - |
| dc.identifier.uri | http://148.72.244.84:8080/xmlui/handle/xmlui/10353 | - |
| dc.description.abstract | In 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.sponsorship | https://djps.uodiyala.edu.iq/ | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | university of Diyala | en_US |
| dc.subject | Signature identification, Off-line signature , Moment, Transformation | en_US |
| dc.title | Off-Line Signature Identification Using Moment Algorithm | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) | |
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