Personal authentication using digital retinal images / Nader Abdelrahman Mohamed Shaaban ; Supervsed Mohamed Emad Mousa Rasmy , Ahmed Salah Eldein Mohamed

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Nader Abdelrahman Mohamed Shaaban

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Material type: Text

TextLanguage: eng Publication details: Cairo : Nader Abdelrahman Mohamed Shaaban , 2009Description: 136P. : charts , facsimiles ; 30cmOther title:

التعرف على الاشخاص باستخدام الصور الرقمية لشبكية العين [Added title page title]

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Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: The thesis aims to accurately authenticate people using their retinal image . A new algorithm is proposed for the extraction of the retinal characteristic features based on image analysis and image statistics. These features are extracted from the plan of the fundus image captured by a fundus camera. A valid feature vector of thirty three features is determined

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.Ph.D.2009.Na.P (Browse shelf(Opens below))		Not for loan		01010110051898000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.Ph.D.2009.Na.P (Browse shelf(Opens below))	51898.CD	Not for loan		01020110051898000

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Previous	Cai01.13.03.Ph.D.2009.Fa.C Consrruction the gene regulatory network using bayesian network and biclustering /	Cai01.13.03.Ph.D.2009.Mo.D Development of a computer aided diagnostic system for breast cancer from digital mammograms /	Cai01.13.03.Ph.D.2009.Mo.D Development of a computer aided diagnostic system for breast cancer from digital mammograms /	Cai01.13.03.Ph.D.2009.Na.P Personal authentication using digital retinal images /	Cai01.13.03.Ph.D.2009.Na.P Personal authentication using digital retinal images /	Cai01.13.03.Ph.D.2009.Wa.C Computer aided diagnosis of digital mammograms /	Cai01.13.03.Ph.D.2009.Wa.C Computer aided diagnosis of digital mammograms /	Next

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

The thesis aims to accurately authenticate people using their retinal image . A new algorithm is proposed for the extraction of the retinal characteristic features based on image analysis and image statistics. These features are extracted from the plan of the fundus image captured by a fundus camera. A valid feature vector of thirty three features is determined

Issued also as CD

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