Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/5123
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dc.contributor.authorAbdul Monem S. Rahma-
dc.contributor.authorEsraa Q. Naamha-
dc.date.accessioned2023-10-19T10:05:59Z-
dc.date.available2023-10-19T10:05:59Z-
dc.date.issued2017-
dc.identifier.citationhttp://dx.doi.org/10.24237/djps.1303.271Ben_US
dc.identifier.issn2222-8373-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/5123-
dc.description.abstractSecurity documents like certificates, land revenue documents, etc., have only the individual’s name, address, and in some cases a photo as means of personal identification. This makes criminal impersonation an easy task. Therefore, many of these limitations can be eliminated by incorporation of better methods that can be used to verify identity by measuring and analyzing human characteristics instead of things the individual may have (smart card) or know (password). The main goal of this paper is using the fingerprint technology to generate the unique ID based on the core point of the fingerprint of an individual that can be used for identifying person identity. The finger-print’s minutia features are extracted with the core point as the reference based on the seven moment invariants, Then the extracted features are converted into numerical value, This numerical value is used as the unique ID for printing in the security documents for the personal identification. If the fingerprint image does not contain the core point such as the plain arch and tented arch patterns then we must create the center point in this fingerprint image and this is considered as the core point. The minutia features will be computed with this point as the reference point and this is used to generate a unique ID.en_US
dc.description.sponsorshipdjps.uodiyala.edu.iqen_US
dc.language.isoenen_US
dc.publisherUniversity of Diyalaen_US
dc.subjectFingerprint, Fingerprint Recognition, seven Moment Invariants, Feature extraction, unique ID.en_US
dc.titleExtract Unique Personal ID Using Fingerprinten_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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