Sign language recognition using a combination of new vision based features / Mahmoud Mohamed Zaki ; Supervised Samir I. Shaheen

By:

Mahmoud Mohamed Zaki

Contributor(s):

Samir Ibrahim Shaheen []

Material type: Text

TextLanguage: eng Publication details: Cairo : Mahmoud Mohamed Zaki , 2010Description: 70P. : charts , facsimiles ; 30cmOther title:

التعرف على لغة الاشارة باستخدام معالم مرئية جديدة [Added title page title]

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Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: Sign languages are based on four components hand shape place of articulation hand orientation and movement . This thesis presents a novel combination of vision based features in order to enhance recognition of underlying signs . Three features are selected to be mapped to these four components

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2010.Ma.S (Browse shelf(Opens below))		Not for loan	01010110053378000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2010.Ma.S (Browse shelf(Opens below))	53378.CD	Not for loan	01020110053378000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

Sign languages are based on four components hand shape place of articulation hand orientation and movement . This thesis presents a novel combination of vision based features in order to enhance recognition of underlying signs . Three features are selected to be mapped to these four components

Issued also as CD

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